Skip to main content

BIG Program Faculty

Content tagged with BIG Program Faculty

Not finding what you're looking for? Try using Advanced Search.
Not finding what you're looking for? Try using Advanced Search.

Sahin Naqvi

Person

We aim to understand how transcription factors (TFs) ensure adequate and timely gene expression in human development. To do this, we combine chemical genetic tools to quantitatively manipulate TF function, sequence-to-activity deep learning approaches...

Ignacio Vazquez-Garcia

Person

Our lab is interested in studying the mechanisms of spatio-temporal tumor evolution, progression and therapy response. Our current research focuses on scalable inference methods and modeling of single-cell genomic and in situ imaging data to study the co...

Wei Zhou

Person

Our group develops and applies efficient and accurate statistical methods and computational tools to understand the genetic/genomic basis of human disease risk and progression using large-scale biobanks. We also leverage high-dimensional omics data to...

Doga Gulhan

Person
Doga is the Principal Investigator of Gulhan Lab at Mass General Hospital (MGH) Cancer Center and an Assitant Professor of Medicine and Biomedical Informatics (Secondary) at Harvard Medical School (HMS). She received her Bachelor of Science degree from...

Johannes Walter

Person

We use frog egg extracts to study the molecular mechanisms underlying DNA replication and repair, and how these processes go awry in human disease. We are working on the following areas:

1. DNA cross-link repair. Our cells are constantly exposed to...

Allegra Petti

Person

My lab studies the development and evolution of cancer through analysis of intratumoral genetic, transcriptional, and immunological heterogeneity. Our work lies at the intersection of computational biology, molecular biology, and medicine: Using...

Konrad Karczewski

Person

I am a computational biologist working on interpreting genetic variation from large-scale datasets. As exome and genome data grow to massive scales, the methods and analytical frameworks need to scale at the same rate, and interpreting results from large...

Luke O'Connor

Person
The O'Connor lab develops statistical methods to analyze genetic association data and applies them to understand the genetic architecture and etiology of common disease. Particular areas of focus include the contribution of rare vs. common variants to...

Sylvan Baca

Person

Our lab develops and applies computational methods in an emerging space we call “translational epigenomics”. This space encompasses efforts to advance precision oncology by deeply characterizing cancer epigenomes. By examining epigenetic changes in...