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Daniel King
Tim Poterba
Tim Poterba is working a new stealth-mode startup to drive increased impact from genomic data in industry. Previously, he worked at the Broad Institute on the open-source Hail (https://hail.is) project to accelerate analysis of petabyte-scale genomic data, and was the tech lead for the Hail Query team building compilers / query optimizers / distributed algorithms […]
Laurent Francioli
Laurent is now a Sr. Research Scientist in the Computational Genomics at Vertex in San Diego. […]
Grace Tiao
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 […]
Ben Weisburd
Ben is a Computational Scientist II in the Rehm lab 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. @benweisburd […]
Mykyta Artomov, PhD
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Sidi Zhang
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. […]
Verneri Anttila
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Daniel MacArthur, PhD
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 […]
