معرفی
Sohini Ramachandran is the Founding Director of Brown University's Data Science Institute and holds the Hermon C. Bumpus Professorship in Biology and Data Science, with a joint appointment in Computer Science. Her research integrates evolutionary theory, population genetics, and computational methods to study human genomic diversity. She leads the Ramachandran Lab and the Center for Computational Molecular Biology (CCMB), focusing on adaptive evolution, disease genetics, and demographic history inference.
Education: B.S. in Mathematical and Computational Sciences (Stanford University, 2002), Ph.D. in Biological Sciences (Stanford University, 2007). Postdoctoral training at Harvard University (2007-2010). Joined Brown as Assistant Professor in 2010, promoted to Full Professor in 2017.
Research interests include developing statistical frameworks for genomic data analysis, with applications to admixture mapping, selection detection, and disease pathway identification. Notable contributions include the SWIF(r) and pong software tools for population genetic analysis.
Grants and Awards: NIH R01, NSF CAREER Award, Pew Scholarship, Alfred P. Sloan Fellowship. Active in training initiatives, including NIH-funded Biological Data Science training programs (T32).
Labs: Ramachandran Lab (population genetics) and CCMB (computational biology). Collaborations span computational statistics, medical genetics, and evolutionary theory. Supervised PhD students include Sam, Sahar, and Elsie. Research outputs include over 50 peer-reviewed articles across genomics, machine learning, and evolutionary biology.
