Speaker: Dr. Liat Shenhav, PhD
About the Speaker: Dr. Liat Shenhav is an independent research fellow at the Center for Studies in Physics and Biology at the Rockefeller University. Prior to that, Liat received a B.Sc. and. M.Sc. in Mathematics and Statistics from Tel-Aviv University, and a Ph.D. in Computer Science from University of California, Los Angeles. Liat’s research focuses on developing computational methods for studying spatiotemporal dynamics of complex ecosystems and their contribution to human health and disease.
About the talk: Complex microbial communities play an important role across many domains of life, from the female reproductive tract, through the oceans, to the plant rhizosphere. The study of these communities offers great opportunities for biological discovery, due to the ease of their measurement, the ability to perturb them, and their rapidly evolving nature. Yet, their complex composition, dynamic nature, and intricate interactions with multiple other systems, make it difficult to extract robust and reproducible patterns from these ecosystems. To uncover their latent properties, I develop models that combine longitudinal data analysis and statistical learning, and which draw from principles of community ecology, complexity theory and evolution. Read more
