DSI Team

Executive Committee

  • Björn Sandstede

    Director, Data Science Initiative, Royce Family Professor of Teaching Excellence and Professor of Applied Mathematics

    401-863-2815

    Björn Sandstede is a Professor of Applied Mathematics, and currently a Royce Family Professor of Teaching Excellence, at Brown University. His research focuses on dynamical systems, data science, and applications to biological systems. Sandstede received his undergraduate degree from the University of Heidelberg and his PhD from the University in Stuttgart. Before coming to Brown in 2008, he... Read More

  • Sohini Ramachandran

    Director of Center for Computational Molecular Biology, Associate Professor of Ecology and Evolutionary Biology, Associate Professor of Computer Science

    401-863-9701

    Professor Ramachandran addresses problems in evolutionary theory and human population genetics. The Ramachandran Lab uses mathematical modeling, applied statistical methods, and computer simulations to make inferences about evolutionary history from present-day samples of genomes. They particularly focus on developing new methods for identifying adaptive genomic elements, characterizing... Read More

  • Joseph Hogan

    Deputy Director, Data Science Initiative, Carole and Lawrence Sirovich Professor of Public Health , Chair and Professor of Biostatistics

    Professor Hogan's research concerns statistical methods for missing data, causal inference, and sensitivity analysis, especially in HIV/AIDS. Much of his recent work focuses on HIV in sub-Saharan Africa. Current projects include the development of methods for analysis of large-scale observational data, optimizing the use of limited information for clinical monitoring of patients on antiviral... Read More

  • Daniel Weinreich

    Interim Director, Center for Computational Molecular Biology, Director of Graduate Studies, Center for Computational Molecular Biology, Associate Professor of Biology

    401-863-3937

    Professor Weinreich uses complementary theoretical and experimental methods to study how genetic novelty fuels evolution by natural selection. Current work in the group focuses on:

    • the causes and consequences of mutational interactions in the bacterial drug resistance gene TEM-1 ß-lactamase
    • the evolution of mutational robustness
    • evolution in... Read More

  • Eli Upfal

    Deputy Director, Data Science Initiative, Professor of Computer Science