Amanda Elliott, MD is an endocrinologist and Instructor at Harvard Medical School, MGH, and the Broad Institute whose research focuses on understanding genetic and environmental determinants of diabetes in large populations and in understudied high-risk groups. Her current research integrates large datasets with genomic data, electronic health records, and registry data to unravel how genes affect diabetes and obesity risk. Her mentor is Mark Daly and she works closely with Ben Neale and Jordan Smoller.
Dr Elliott completed a BS with high distinction receiving high honors in both mathematics and in cellular & molecular biology at the University of Michigan, Ann Arbor. She completed an MD with research distinction at the University of Michigan. Her internship and residency in Internal Medicine were at Duke University Medical Center, and endocrinology fellowship was at the Joslin Diabetes Center / Beth Israel Deaconess Medical Center. She also completed a T32 program in genetics at Brigham and Women's Hospital. She then joined the faculty at the Analytic and Translational Genetics Unit at MGH and Harvard Medical School. In 2019, Dr Elliott was selected as the Sarnoff Cardiovascular Research Scholar Award.
Mykyta is a research fellow in Mark Daly’s group. His research is devoted to developing computational methods for gene networks analysis and their application to association studies specifically focused on cancer genetics. He is searching for ways of applying new methods to understand genetic factors influencing immune response (and differential survival) to cancer disorders.
Andrea is an EMBL-group leader at FIMM and an instructor at Harvard Medical School and Massachusetts General Hospital. Previously he did his post-doc at the Analytical and Translation Genetic Unit at Massachusetts General Hospital/Harvard Medical School/Broad Institute and his PhD at Karolinska Institute. His research interests lie on the intersection between epidemiology, genetics and statistics. Andrea have authored and co-authored both methodological and applied papers focused on leveraging large scale epidemiological datasets to identify novel socio-demographic, metabolic and genetic markers of common complex diseases. He has extensive expertise in statistical genetics and have been working with large-scale exome and genome sequencing data, focusing on ultra-rare variants in coding and non-coding regions. His research vision is to integrate genetic data and information from electronic health record/national health registries to enhance early detection of common diseases and public health interventions.
Lab website: https://www.dsgelab.org/
Dr. Talkowski is the Director of the Center for Genomic Medicine (CGM) of Massachusetts General Hospital (MGH), Associate Professor of Neurology at Harvard Medical School, with cross-appointments in Psychiatry and Pathology, and the MGH Desmond and Ann Heathwood Research Scholar. Dr. Talkowski is also an Institute Member of the Broad Institute of Harvard and MIT in the Program in Medical and Population Genetics and the Stanley Center for Psychiatric Research. Dr. Talkowski’s research program is dedicated to the characterization of genomic variation in medical and population genetics, with a focus on the impact of alterations to genome structure and function in the etiology of human developmental and neuropsychiatric disorders. Dr. Talkowski’s lab integrates computational methods to discover variation and a molecular genomics group to determine its functional consequences. He also directs the Genomics and Technology Core of MGH and leads a Structural Variation group at the Broad Institute.
Dr. Talkowski was a pioneer in the application of sequencing technologies to define the landscape of chromosome abnormalities at sequence resolution, and led efforts to create an expansive atlas of structural variation and complex chromosomal rearrangements across human populations, initially in autism spectrum disorder (ASD) families and later in the genome aggregation database (gnomAD). Dr. Talkowski co-leads several consortia dedicated to exploring the complete genetic architecture of ASD, as well as to develop new technologies for translational applications in prenatal and pediatric genetic diagnostics. These studies have collectively represented a hub of gene discovery in ASD, Mendelian disorders, and congenital anomalies, and have led to the development of novel approaches to leverage genome engineering technologies to model structural variation and alterations to three-dimensional genome organization.
Daniel is a group leader within the Analytic and Translational Genetics Unit (ATGU) at Massachusetts General Hospital. He is also Assistant Professor at Harvard Medical School, and the Co-Director of Medical and Population Genetics at the Broad Institute of Harvard and MIT.
His work revolves around the extraction of functional information from large-scale genomic data.
MacArthur’s lab seeks to accurately identify DNA variants affecting gene function and human disease risk from large-scale datasets containing genetic information from more than 90,000 human genomes. He also studies transcriptome sequencing (RNA-seq) approaches to better understand the impact of variants on human gene function. His lab leads an international consortium, the Exome Aggregation Consortium (ExAC), that has compiled the largest collection of sequences of the protein-coding region (exome) of the human genome.
Finally, his research brings these approaches together to discover disease-causing mutations in patients with rare severe diseases, with a particular focus on neuromuscular diseases such as muscular dystrophy. He has already used these techniques to diagnose several patients, and is working with collaborators to design genetic tests and treatments for the patients and their families.
MacArthur completed his Ph.D. at the Institute for Neuromuscular Research in Sydney, Australia, where he studied a loss-of-function variant in the human ACTN3 gene associated with variation in muscle strength and athletic performance. He later served as a postdoctoral fellow at the Wellcome Trust Sanger Institute in Hinxton, UK, where he led the annotation of gene-disrupting (“loss-of-function”) variants as part of the 1000 Genomes Project Consortium.
Aarno Palotie is a faculty member at the Center for Human Genome Research at the Massachusetts General Hospital in Boston, an associate member at the Broad Institute of MIT and Harvard, and research director of the Human Genomics Program at the Institute for Molecular Medicine Finland (FIMM) in Helsinki.
The overall goal of Palotie´s group is to improve the understanding of the genetic mechanisms underlying common diseases. Much of the group’s work draws on the unique clinical- and population-based samples collected from the Finnish founder population. One of the main focus areas is genetics of neurological, neurodevelopmental, and neuropsychiatric traits.
The long lasting geographical and linguistic isolation, internal migrations, famines and rapid, recent expansions have molded the population structure of Finland for thousands of years. Such population isolates provide exceptional opportunities for identification of genome variations underlying disease traits. Because Finland’s unique population structure is combined with the one-payer health care system, the harmonized training of physicians, and tradition in epidemiological research, the country has become one the most interesting places for genetic epidemiology. The availability of large sample collections (www.nationalbiobanks.fi), mostly performed by the Institute of Health and Welfare (THL, www.thl.fi), has stimulated large international collaborative projects such as the SISu project (Sequencing Initiative Suomi) that combines most of the large-scale sequence data produced worldwide. The aim is to construct a large genome data resource that facilitates the development of strong genome medicine programs.
Diseases of specific interest in the Palotie group are migraine, schizophrenia, epilepsy, their comorbidities, and some cardiovascular traits. The wealth of multiple large study samples enables the group to use different study designs for genome variant identification and verification and for the estimation of the size of the effect contributed by the variants. These include large collaborative genome wide association (GWA) and sequencing studies, and studies that utilize family structures and extreme population bottlenecks to identify low frequency variants.
Palotie received his M.D. and Ph.D. degrees at the University of Oulu, with his specialty in clinical chemistry at the University of Helsinki. His past positions include professorships at the University of Helsinki and University of California, Los Angeles (UCLA), director of the Finnish Genome Centre at the University of Helsinki, and senior group leader at the Wellcome Trust Sanger Institute.
Heidi Rehm, PhD, Chief Genomics Officer, Department of Medicine, MGH
Professor of Pathology, MGH, BWH, and Harvard Medical School
Medical Director, Broad Institute Clinical Research Sequencing Platform
Heidi Rehm is the Chief Genomics Officer in the Department of Medicine and at the Center for Genomic Medicine at Massachusetts General Hospital (MGH) working to integrate genomics into medical practice with standardized approaches. She is a board-certified laboratory geneticist, Medical Director of the Broad Institute Clinical Research Sequencing Platform, and Professor of Pathology at Harvard Medical School, using these roles to guide genomic testing for clinical and clinical research use. She is a leader in defining standards for the interpretation of sequence variants and a principal investigator of ClinGen, providing free and publicly accessible resources to support the interpretation of genes and variants. Rehm also co-leads the Broad Center for Mendelian Genomics with Anne O’Donnell focused on discovering novel rare disease genes and co-leads the Matchmaker Exchange to aid in gene discovery. She is a strong advocate and pioneer of open science and data sharing, working to extend these approaches through her role as vice-chair of the Global Alliance for Genomics and Health. Rehm is also a principal investigator of the Broad-LMM-Color All of Us Genome Center supporting the sequencing and return of results to a cohort of one million individuals in the US and co-leading the gnomAD database.
More information about her work can be found at:
Laboratory Website: RehmLab.org
Broad Center for Mendelian Genomics https://cmg.broadinstitute.org
Rare Genomes Project https://raregenomes.org
Matchmaker Exchange http://www.matchmakerexchange.org
All of Us Research Program https://www.joinallofus.org
Broad CRSP http://genomics.broadinstitute.org/products/clinical-research-sequencing-platform-crsp
Rehm received her bachelor's degree from Middlebury College in Molecular Biology and Biochemistry. She completed her PhD in Genetics at Harvard University studying the genetic and pathological basis of Norrie Disease, a deaf-blindness syndrome, and served as a postdoctoral fellow at Massachusetts General Hospital and Howard Hughes Medical Institute, expanding her studies into the genetic basis of hearing loss.
Alex Bloemendal is a Machine Learning Advisor at the Broad Institute of MIT and Harvard and at the Analytic and Translational Genetics Unit of Massachusetts General Hospital. As a member of Broad institute member Ben Neale’s lab, Bloemendal leads a group in developing new methods to analyze genetic data, harnessing its unprecedented scope and scale to discover the genetic causes of disease. He also co-founded and directs the Models, Inference & Algorithms initiative at the Broad, bridging computational biology, mathematical theory, and machine learning. Bloemendal is an institute scientist at the Broad.
Bloemendal was previously a research scientist in the Program for Evolutionary Dynamics and a Simons Fellow in the Department of Mathematics at Harvard University. His research in probability theory and random matrices focused on questions of signal and noise in high-dimensional data; he proved an open conjecture with wide-reaching applications for fields including population genetics. He also earned a teaching award for an advanced course on probability.
Bloemendal received an Hon. B.Sc., M.Sc., and Ph.D. in mathematics from the University of Toronto.
Claire completed a doctorate in the department of Statistics at Oxford University, under the supervision of Jonathan Marchini, where her thesis work focused on statistical methods of ancestry deconvolution in admixed populations. She joined to the Broad Institute in 2012 as a postdoc in David Altshuler’s group where she developed QC methods for untargeted metabolomics data, and studied associations between the metabolome, genetics, and type 2 diabetes risk. In early 2015 Claire joined the Neale group as Scientific Advisor, responsible for helping to drive and implement the scientific strategy of the group and for supporting group members across a diverse range of projects.
Dan Howrigan, PhD, Research Scientist and Data Group Leader
Daniel oversees the SNP array and sequence analysis pipeline in the Neale lab, with a primary focus on furthering genetic discovery in complex psychiatric disease through collaborative partnerships and high-throughput data analysis. His post-doctoral research has been focused on deciphering the role of rare genetic variation in schizophrenia. Daniel received his PhD in 2012 from the University of Colorado, Boulder (supervised by Dr. Matthew Keller and Dr. Matthew McQueen). During his time in Colorado, his research investigated the detection of autozygosity (a genetic signature of inbreeding), and its role in general cognitive ability and schizophrenia liability.
Dan is the Associate Director of the HAIL team. He is interested in developing libraries and languages that provide a natural and high-performance mode of interaction for scientists. He has previously worked at a local software start-up and studied for a (incomplete) PhD in Programming Languages.
Cotton Seed is a Senior Principal Software Engineer and leader of the Hail team at the Broad Institute of MIT and Harvard. Prior to joining the Broad, he did a PhD in Mathematics at Princeton University and spent over a decade building high-performance computing systems with a focus on advanced compiler technology at Connected Components Corp, Intel, and Reservoir Labs, among others.
Christine Stevens, a Senior Project Manager, joined The Broad Institute in 2003. Christine possesses a diverse knowledge of genomic technologies, and analyzes, and has strong experience in funding regulations and compliance. She is well versed in project management, high-throughput processes, and large-scale data. Christine oversees the Autism and Inflammatory Bowel Disease genetics projects.
Grace Tiao, Associate Director for Computational Genomics in the Translational Genomics Group
Grace Tiao is the Associate Director for Computational Genomics in the Translational Genomics Group and leads a team of computational biologists developing efficient methods and pipelines to produce and analyze large-scale sequencing callsets, including the Genome Aggregation Database (gnomAD), the UK BioBank, and rare disease cohorts generated by the Broad’s Center for Mendelian Genomics. She is the product owner for gnomAD and directs the production of gnomAD releases. Grace studied statistics and mathematics at the University of Oxford and worked for several years in the Cancer Genome Analysis group at the Broad.
Raymond is a Group Leader in Dr. Bejamin Neale’s lab at ATGU and the Broad Insitute of MIT and Harvard. His research focuses on the development and application of statistical best practices for studying the genetics of psychological traits and disorders. Prior to joining the ATGU, Raymond earned his Ph.D. in Psychology in 2014 from the University of Notre Dame under the direction of Dr. Gitta Lubke. His current work includes development of a pipeline for rapid analysis of genome-wide SNP arrays in family-based data in the Psychiatric Genomics Consortium (PGC) and assessment of novel methods for quantifying the architecture of SNP effects across the genome.
Ben is a principal software engineer working on developing methods for interpreting DNA sequencing data in the context of severe Mendelian diseases. He is the lead developer for our seqr rare disease analysis platform.
Alice Zheng is a Project Coordinator in the Stanley Center for Psychiatric Research at the Broad Institute of MIT and Harvard. She supports Hailiang Huang with the Asian Initiatives and works in conjunction with cross-functional groups in America and Asia to support the project management team and their ongoing research of psychiatric diseases. Her role involves collaborative research projects with several of Broad’s international partnerships as they continue to work towards cutting-edge research in the area of severe mental illnesses.
Yu Chen is a visiting graduate student in Hailiang Huang's lab. Yu is sponsored by Central South University a national university of China located in Changsha, Hunan. Yu is interested in the genetics of psychiatric disorders, especially schizophrenia. Yu's work focuses on studying and comparing the genetic regulation of gene expression across different populations.
Roy is an Associate Computational Biologist in Hilary Finucane's lab. He investigates and validates fine-mapping algorithms and works on scaling them up to larger data. Roy received his B.S. in Computer Science from Yale University in 2019.
Nathan is a Associate Computational Biologist working in Hilary Finucance's lab. He interested in developing methods for extracting functional information about genes, such as coexpression and coregulation, from gene sequencing data. He is also interested in applying the insights that can be learned from these data to prioritize causal genes for polygenic diseases.
Mingrui Yu is an Associate Computational Biologist working in Hailiang Huang's lab. Mingrui is interested in developing novel statistical methods that generate new insights into how genetic variants contribute to highly polygenic traits.
Samantha Baxter, Genetic Counselor/Clinical Project Manager II
Samantha is the clinical project manager at the Broad Institute’s Center for Mendelian Genomics. She is a genetic counselor who has worked in the area of cardiovascular genetics and now focuses on the management and sharing of both clinical and genetic data.
Patrick is an Associate Computational Biologist in the Neale lab, working primarily with the Hail Team. He is interested in developing tools that enable large-scale data analysis. He received his MS in Statistics from Oregon State University in 2020, and his BS in Applied Mathematics and Earth Sciences from Syracuse University in 2018. He previously spent four years in the United States Air Force as an aircraft mechanic.
Laura is a computational biologist jointly based in the MacArthur lab and the Broad Institute Data Sciences and Data Engineering (DSDE) platform. She works on the development of variant-calling pipelines for rare disease samples.
My name is Mekdes, but I go by Duni. I am originally from Ethiopia. I am currently working in the MacArthur lab more specifically in Rare Genomes Project as a Senior coordinator. I graduated from Gordon College with a B.S. in Biology in 2014.
Jackie Goldstein, Senior Software Engineer-Technical Lead
Jackie Goldstein is an Senior Software Engineer and is a member of the Hail team. Her previous work included developing a rare variant caller for genotyping arrays and finding genetic risk factors for adverse drug events such as clozapine-induced agranulocytosis and drug-induced liver injury. She also contributed to the design of the PsychChip array and the subsequent genome-wide association studies for the Psychiatric Genomics Consortium.
Research Associate with Elise Robinson. She is working on cognitive phenotypic associations with psychiatric and neurodevelopmental disorders. She received her B.A. in History of Science from Harvard College in 2016.
Zan is an Associate Computational Biologist at the Broad Institute. They are interested in creating community tools which contribute to overall global health equity. Working under the mentorship of Alicia Martin and Elizabeth Atkinson, they are currently working on analyses for the NeuroGAP-Psychosis project. Zan graduated from Rensselaer Polytechnic Institute in 2019 with a BS in Bioinformatics and Molecular Biology
Mita is a software engineer transformed into bioinformatician with general research interests in application of genomic and computational methods to elucidate the genetic basis of complex diseases. His current projects focus on intellectual disability, Alzheimer’s disease, familial migraine and intracranial aneurysms. A long-term goal of his research is in development of Finnish genetic reference database (http://www.sisuproject.fi/) and nation- and phenomewide genetic analyses utilizing extensive Finnish health care registries. He is leading the genetic analysis team in a large project, which aims to genotype 500 000 Finns and couple the genetic data with health registry data of each participant. These activities will contribute to a reference database used in rare variant studies, powerful phenome-wide association studies elucidating genetic basis of health and disease and eventually hopefully as a step in realizing the promise of personalized medicine in the future.
He has previously worked as a software engineer in startup environment, researcher in laboratory of functional genomics and bioinformatics, University of Eastern Finland and as a bioinformatician in NeuroCenter,Kuopio University Hospital, Finland. "
Wenhan is an Associate Computational Biologist in the Neale Lab at the Broad Institute. She earned her MS Degree in Biostatistics at Yale University in 2020. She is interested in analyzing genetic data for their impacts on human traits, as well as building pipelines for quality control and data virtualization.
Andrew is an associate computational biologist at the Broad Institute and is interested in the growing computational pipelines used to run quality control and imputation on genotyping data.
Andrew graduated from Bowdoin College in 2019 with a BA in Neuroscience.
Camelia is a computational scientist in the Neale lab at the Broad Institute of MIT and Harvard. Her work focuses on discovering new approaches to the diagnosis and pharmacological treatment of psychiatric disorders via large scale whole-genome sequencing analyses. She also works on advancing our understanding of the contribution of genetic environments in the risk for psychiatric outcomes.
She earned her PhD in Statistical Genetics from Vrije Universiteit Amsterdam where she focused on methods for genetic studies of families and on causal statistical modeling related to genomic research. She is the recipient of an R01 grant (subrecipient PI) to work on causal modeling using genetic information. Learn more about Camelia here.
Lindo is an Associate Computational Biologist in the Neale Lab. He is interested in the analysis and visualization of genomic data. Lindo completed his Honours degree in Bioinformatics in 2019 and his project was on assessing the sensitivity and accuracy of various variant callers in African populations.
Melanie is a genetic counselor and the senior clinical manager for the Rare Genomes Project. Her background spans clinical care, research coordination, and clinical laboratory settings. She is involved in multiple aspects of the project including leading the return of results to families enrolled in the study.
Lynn is a genomic variant analyst who helps interpret rare disease exomes and genomes to identify causal candidate genes and variants. She also manages and coordinates activities for certain rare disease cohorts, working closely with a set of clinical collaborators from around the world.
Tim Poterba, Senior Software Engineer- Techincal Lead
Tim Poterba is a Senior software engineer working on the Hail project in Ben Neale's group at the Broad Institute and Massachusetts General Hospital. His primary interest is the application of modern computing technology to accelerate biomedical research. Prior to joining the Broad, he studied protein folding dynamics at the Max Planck Institute for Biochemistry on a Fulbright Scholarship. He received his B.A. in Biochemistry and Biophysics from Amherst College in 2013.
Kyle Satterstrom is a computational biologist in the Daly group at ATGU and the Broad Institute of MIT and Harvard. His work focuses on aggregating and analyzing whole exome sequence data to study the genetic risk factors associated with autism spectrum disorder. Prior to joining ATGU, Kyle received his PhD in bioengineering from Harvard in 2015. He conducted his dissertation research in the laboratory of Marcia Haigis at Harvard Medical School, where he studied genes involved in the regulation of metabolism and longevity.
Patrick Schultz recently joined the Hail team as a software engineer. Patrick is especially interested in the intersection of math and computer science and recently posted a NASA-funded book on his postdoctoral research in mathematics at MIT (https://arxiv.org/abs/1710.10258). He is excited to bring theory to practice for scientists by helping to build a better Hail.
Matthew Solomonson, Associate Computational Biologist I
Matt is a software engineer interested in developing interactive visualization tools for exploring large biological datasets. He studied protein structural biology during his PhD at the University of British Columbia.
Katherine Tashman, Associate Computational Biologist I
Kate Tashman is an Associate Computational Biologist with the Neale Lab. She is interested in studying the genetic effects on psychiatric illness as well as neurodevelopmental disorders. She received her B.S. in Mathematical Sciences from Binghamton University in 2017.
Kumar is a Computational Scientist I. His general research interests are in human genetic epidemiology, particularly in modeling and understanding complex genetic diseases. Currently, he is working on understanding familial polygenic risk of migraines in Finns.
He obtained his Bachelor’s degree (First Class Honours) in Biotechnology at UCSI University, Malaysia (advised by Renee Lim Lay Hong, Ph.D.) and completed his Ph.D. in Biomedical Sciences in 2016 at the University of Miami (advised by Olaf Bodamer, MD, PhD). During his undergraduate and subsequent faculty position at UCSIUniversity, his research interests included heterologous expression of recombinant proteins and candidate gene studies of myopia and obesity in Malaysian adolescents. For his Ph.D., his work focused on the genetics of preterm birth which included whole exome sequencing analysis of a Miami-Latino population, and an integrated analysis (RNA-seq and methylation) of a longitudinally ascertained birth cohort.
Michael Wilson, Associate Computational Biologist I
Mike is an associate computational biologist working on the preliminary analyses of exomes and genomes to identify causal candidate genes and variants. He also manages datasets from Mendelian disease collaborators. He was previously a Senior Research Associate in the Broad Institute’s Clinical Research Sequencing Platform.
Mary is an associate computational biologist at the Broad Institute. She is originally from Addis Ababa, Ethiopia. She completed her undergraduate study at Clark University in 2019 and graduated from Boston University in 2020 with an MS in bioinformatics. She plans to work on projects that allow her to apply her classroom knowledges/experiences while acquiring new ones. She is interested in the application of bioinformatics in medicine and hopes to eventually go back and work in her home country.
Tetyana is a visiting researcher from the University of Bergen. She is interested in the genetics of complex disorders. In particular, she focuses on the phenomena beyond common variant association, such as the role of rare variants, environment, epistasis, physiological and psychological body changes as well as parent of origin effects. The main phenotype of her work is attention deficit hyperactivity disorder (ADHD), in the research of which she has been involved for the past 3 years. Previously, she has worked on a variety of complex disorders, such as myopia, physical activity, bone density, finger length ratio and ankylosing spondylitis.
Celia is currently in the second year of her postdoctoral fellowship with the Robinson lab, where she is working on common and rare variant additivity in Autism Spectrum Disorder (ASD). The inheritance of common variants associated with ASD from unaffected parents to children affected with ASD is highly complex and can contribute to the heterogeneity of the disorder. By understanding the patterns of transmission in subgroups of individuals with ASD, we can better classify which groups of ASD cases are more etiologically similar and in doing so improve downstream analysis designs and treatment of this disease. Celia obtained her PhD in Human Genetics at the University of Stellenbosch in Cape Town, South Africa, in 2015. Thereafter, she completed a 3-year postdoc at the University of Cape Town. Celia is also a research fellow in the Global Initiative for Neuropsychiatric Genetic Education in Research.
Yan Xia is a Research Fellow in Hailiang Huang's lab. Yan’s research focuses on studying the genetic regulation for complex disorders, especially dissection of psychiatric disorders. She is interesting in epigenetic regulation, especially the DNA methylation quantitive trait loci in East Asian population.
Caitlin Carey is a Postdoctoral Associate at the Broad Institute of Harvard and MIT, where she is advised by Dr. Elise Robinson. Prior to joining the Broad, she earned her PhD in Psychological and Brain Sciences from Washington University in St. Louis under the direction of Dr. Ryan Bogdan, where her dissertation focused on links between polygenic risk, neural function, and behavior in externalizing psychopathology. She is interested in cross-disorder comorbidity and within-disorder heterogeneity in neuropsychiatric disorders and is currently working to characterize the contributions of rare and common genetic variation to specific phenotypes in autism spectrum disorders.
Siwei is a Postdoctoral Research Fellow in Dr. Benjamin Neale’s lab at ATGU and the Broad Institute of Harvard and MIT. Prior to joining the ATGU, Siwei earned her Ph.D. in Computational Biology from Cornell University, where her dissertation focused on identifying and interpreting disease mutations in the human protein interactome. Siwei is widely interested in studying the genetic basis of human diseases and is currently working on whole-exome/genome genetic variation analysis to understand how genetic risk translates into biological mechanisms.
TJ is a postdoctoral fellow in Dr. Mark Daly’s group. He completed his Ph.D. in 2016 at the Wellcome Trust Sanger Institute, where he studied the role of rare variation in the genetic architecture of psychiatric and neurodevelopmental disorders. Mentored by Dr. Daly and in close collaboration with Dr. Benjamin Neale’s group, he currently works on the meta-analyses of sequencing data in psychiatric traits, with a primary focus on the genetics of schizophrenia.
Robbee Wedow is a postdoctoral research fellow at the Broad Institute of MIT and Harvard, the Harvard Department of Sociology, the Analytical and Translational Genetics Unit at Massachusetts General Hospital, and the Department of Epidemiology in the Harvard T.H. Chan School of Public Health. Using computational and big data methods, Robbee’s work sits at the intersection of sociology, demography, and statistical genetics. He focuses especially on the environmental and genetic etiologies of complex human social and health behaviors. You can find out more about Robbee’s work at robbeewedow.com. Twitter: @robbeewedow.
I am a Postdoctoral Research Fellow at the Broad Institute of Harvard and MIT co-advised by Dr. Mark Daly and Dr. Benjamin Neale. I earned my Ph.D. in Bioinformatics under the direction of Dr. Cristen Willer and Dr. Seunggeun (Shawn) Lee. My dissertation focused on the development and application of statistical methods for large-scale genetic association studies. I'm currently working on a meta-analysis of global large-scale biobanks.
Jill provides administrative support to Mark Daly, the Chief of ATGU and his lab in their administrative and research efforts as part of a growing administrative team spanning two institutions, MGH and the Broad Institute. Jill has been working in ATGU since 2010.
Carla provides administrative support to Benjamin Neale as well as the Neale Lab in their administrative and research efforts as part of a growing administrative team spanning 2 institutions, MGH and the Broad Institute. Carla has been working in ATGU since August of 2013.
Elizabeth Raynard, Administrative and Grant Manager
Beth manages the administrative and grant activities of the Unit that span the Massachusetts General Hospital and Broad Institute. She works with various departments at both institutions for Appointments and on boarding, International Offices for visa processing, Institutional Billing Agreement execution, Grant preperation etc. She has been working at MGH since 2007.
Whitney Wade provides administrative support to Cotton Seed and the Hail team at the Broad Institute of MIT and Harvard. Prior to joining the team, she worked at Massachusetts General Hospital and is now part of the growing administrative team that spans the two institutions. She received a B.A. in English from Amherst College in 2010 and a B.A. in Communication Disorders and Linguistics from SUNY New Paltz in 2014.
I am a "Research Scientist" at the Stanley Center (and Group Leader at the Cologne Center for Genomics).
“Why did the patient develop this disease?” “Will the patient respond to this medication?” “Can we predict the disease prognosis?” “What is the underlying mechanism?”
My long-term research interests involve the development of a comprehensive understanding of how alterations in the genome contribute to brain disorders. My academic training and research experiences have provided me with an excellent background in multiple disciplines including molecular biology, genetics, and bioinformatics as well as a comprehensive understanding of the clinical and neurological presentation of neuropediatric disorders. Overall, the main focus of the group that I lead is the discovery, evaluation, and translation of genetic variants into clinical care. Specifically, we aim to develop computational methods which integrate large genetic, clinical, and biological data sets to improve the prediction of genetic variant effects on patient outcomes – paving the way for personalized medicine.
Eric is a computational scientist interested in using large-scale exome sequencing data to inform diagnosis and therapeutic development strategy in Mendelian disease, particularly neurodegenerative disorders. He now works part-time while completing his graduate degree in the Biomedical and Biological Sciences Program at Harvard.
Masahiro Kanai is a PhD student in the Bioinformatics and Integrative Genomics PhD Program, Harvard Medical School. Co-advised by Drs. Mark Daly and Hilary Finucane, his research focuses on trans-ethnic analysis of complex diseases and traits to better understand their genetic architecture and diversity in multiple populations. Prior to joining ATGU, Masahiro completed his B.S. degree in Japan, where he worked closely with Dr. Yukinori Okada to study genetics of complex traits in the Japanese population using the Biobank Japan data.
As part of a statistical genetics and experimental genomics research group, my work focuses on developing and applying novel methodologies to gain biological insights into genetic association signals. Specifically, I am involved in several projects to improve genetic fine-mapping for biobank-scale GWAS studies. Ultimately, we plan to test these results using massively parallel reporter assays and use these data to create accurate models of regulatory grammar as part of the ENCODE consortium. Additional projects include uniformly processing large single cell genomics datasets to create features and developing novel methodologies to prioritize GWAS target genes. I am a member of Hilary Finucane's lab.
Hannah is a PhD in the Department of Biology at MIT. Co-advised by Hilary Finucane and Chris Burge, her research seeks to uncover the molecular mechanisms of psychiatric disorders by investigating non-coding variants that alter pre-mRNA processing and gene expression.
Layla is an MD-PhD student in the Harvard-MIT Health Sciences and Technology program, and is currently doing her PhD in Biophysics at Harvard. She completed her undergraduate work in Organismic and Evolutionary Biology at Harvard in 2016. Co-mentored by Dr. Eric Lander and Dr. Hilary Finucane, Layla’s work centers on uncovering the underpinnings of regulatory network structure, focusing on transcription factor binding and enhancer architecture, to better understand the programs cells execute in health and disease.
Yu Chen is a visiting graduate student in Hailiang Huang's lab. Yu is sponsored by Central South University a national university of China located in Changsha, Hunan. Yu is interested in the genetics of psychiatric disorders, especially schizophrenia. Yu's work focuses on studying and comparing the genetic regulation of gene expression across different populations.
Sherif Gerges is a PhD student at Harvard Medical School in the Biological and Biomedical Sciences with a focus in Data Science at the Institute for Applied Computational Science. He is jointly co-mentored by Mark Daly and Steve McCarroll; and is using computational tools to functionally analyze genome-wide association studies at the single-cell level.
Rahul is an MD-PhD student in the Harvard-MIT Health Sciences and Technology program, and is currently doing his PhD in Genetics and Genomics at Harvard. He completed his undergraduate work in Chemical Engineering and Biology at the University of Pennsylvania in 2016. Co-mentored by Dr. Ben Neale and Dr. Vamsi Mootha, Rahul’s work is focused on using human genetics data to better understand perturbed pathways and disease mechanism, with a focus on mitochondrial function and dysfunction.
Daniel is a Graduate Student in the Neale lab. He is developing a method based on the Maximum Entropy Principle to construct multilayer SNP-phenotype networks given GWAS data. He is generally excited about how simple yet powerful variational principles, such as Maximum Entropy, can be developed, extended and applied to problems in biology and medicine. Daniel graduated from Yeshiva University in 2016 with a Bachelor's in Mathematics and Physics, and is on leave from medical school at Stony Brook University to focus on research and to pursue a PhD. For more information, check out his website.
Carlos is an Associate Computational Biologist working in Hilary Finucane's group. He is working on developing fine-mapping methods that account for all of the possible realizations of imputed SNPs, as opposed to just a point estimate.
Elizabeth is an Instructor in the ATGU and Affiliated Researcher at the Broad Institute, she was co-advised by Drs. Mark Daly and Ben Neale and working closely with Dr. Karestan Koenen. She did her PhD at Washington University in St. Louis followed by receiving an NIH Institutional Research and Career Development Award at Stony Brook University, in which she received structured pedagogy training, taught university classes, and examined genetic diversity of brain genes across diverse human populations. In the ATGU, Elizabeth is working on developing resources for improved study of the genetic basis of neuropsychiatric diseases in underrepresented admixed populations. In this capacity, she is part of the PGC-PTSD and NeuroGAP consortia, where she brings her population genetics background to complex psychiatric disease space.
Anne is a recent graduate from the program of statistical genetics and genetic epidemiology at Harvard School of Public Health and now a postdoctoral fellow working with Dr. Ben Neale at ATGU and Dr. Jordan Smoller from PNGU. Her doctoral research focused on developing and applying statistical methods to a range of human -omics data, including GWAS, epigenomics, and metabolomics data. She’s interested in exploring the genetic underpinnings of and across neuropsychiatric traits and will be working on a project to identify genetic variation affecting the risk of common epilepsies using sequencing data.
Qingbo is a Ph.D. student in the Bioinformatics and Integrative Genomics Ph.D. Program at Harvard Medical School. Qingbo is advised by Hilary Finucane. He works on the development of machine-learning methods for identifying non-coding regulatory variants at single base-pair resolution using high dimensional functional genomics features, with a strong focus on rare and common disease applications.
Patrick is an Instructor at ATGU and the Broad Institute of Harvard and MIT. He is advised by Dr. Benjamin Neale, researching statistical methods applied to topics in the intersection of economics and genetics. He is also a core researcher of the Social Science Genetic Association Consortium and an affiliated postdoc with the Behavioral and Health Genomics Center at the University of Southern California. Currently, his work focuses on analyzing genetic data to explore the relationship between traits and boost power for association.
Sidi is a graduate student in Daly lab. She was born and grew up in Beijing, and did her undergrad at University of Chicago. Her academic interests include population genetics, non-coding regions and psychiatric diseases. She also enjoy Japanese culture, video games, yoga, pets and food.