Yanruo (Alice) Zhang

Alice (Yanruo) Zhang is a Computational Associate I in the Huang lab. She is interested in unveiling the genetic underpinnings of complex disorders elevating genomic data and statistical methods, with a focus on neuropsychiatric and autoimmune diseases. She completes her undergraduate study in 2023 in Neuroscience and Computer Science at Middlebury College, VT. Her future aspiration is […]

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Layla Siraj

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 […]

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Zan Koenig

Zan is a Computational Associate at the Broad Institute. They are interested in creating community tools which contribute to overall global health equity. Under the mentorship of Alicia Martin, they are working on running analyses and developing tools for datasets with diverse ancestry populations such as NeuroGAP-Psychosis, HGDP, and the 1000 Genomes Project. […]

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Lindo Nkambule

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. […]

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Camelia Minica, PhD

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 […]

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Andrew Marin

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. […]

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Rahul Gupta

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 […]

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Daniel Lazarev

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. […]

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Siwei Chen, PhD

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 […]

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Mary Yohannes

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. […]

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