About Aviya Litman

Aviya Litman is a Ph.D. candidate in computational biology at Princeton University, where she develops machine learning methods to analyze large-scale phenotypic and genetic datasets, with a focus on understanding how genetic variation shapes human health. She holds a bachelor’s in mathematics from Columbia University and a master’s from Princeton. Prior to her doctoral work, she was a research associate at Columbia’s program for mathematical genomics, where she built scalable algorithms to model genomic diversity across microbiomes. Her research has been recognized by the National Science Foundation and is supported by the National Institutes of Health and the Simons Foundation.