Zade Akras

Zade is an MD student in the Harvard-MIT Program in Health Sciences and Technology. He completed his undergraduate degree in Mathematics at Yale in 2022. Zade is broadly interested in statistics, and his work in the Neale lab focuses on genetic power calculations for cellular phenotypes. […]

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Kristin Tsuo

Kristin is a PhD student in the Biological and Biomedical Sciences (BBS) program at Harvard Medical School, co-advised by Alicia Martin and Mark Daly. She completed her undergraduate degree in Integrative Biology at Harvard. She is broadly interested in developing approaches to study disease risk prediction in diverse populations, and in particular, leveraging biobank data to […]

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Yu Chen

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. […]

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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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Hannah Jacobs

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. […]

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Sherif Gerges

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. […]

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