Molecular epidemiology through computational genomics
The Bhattacharya Lab for Computational Genomics is a team of researchers at the Department of Epidemiology and Institute for Data Science in Oncology at MD Anderson Cancer Center. We explore the biological mechanisms contributing to cancer risk and outcomes and developmental phenotypes. To accomplish this, we develop fully open and accessible computational tools based on statistical principles to analyze large genetic, functional genomic, and clinical datasets through international collaborations. Reach out if you’re interested in joining us!
Highlights
Genomics + data science → biological mechanisms
We use statistical and epidemiological principles to develop and apply computational genomics tools to understand the biology underlying cancer and human development. We prioritize transparency, rigor, and reproducibility and value interdisciplinary collaboration and creativity.
Computational tools for genetics and functional genomics
Our goals are two-fold: (1) ask and answer important questions about cancer and human development and (2) develop computational tools to help us explore these questions in large genetic and molecular datasets. Our software will always be open-source and our analyses reproducible.
Our growing team
Meet our team that’s committed to learning and growing in a healthy, collaborative environment. Reach out if you’re interested in joining us! We’re looking for epidemiologists, statisticians, data scientists, biologists, and clinician-scientists at all levels.