Funding provided by the National Science Foundation
Field of Study
Statistical Genetics, Statistical Machine Learning
Institute for Advanced Study
Bianca Dumitrascu’s research brings together Bayesian statistics, optimization, and machine learning, with the goal of developing interpretable methods for structured, high-dimensional medical and genomic data. Dumitrascu develops statistical methods, employing techniques from optimal transport, transfer learning, and deep generative models, with the broader goal of quantifying the impact of genetic variation on biological traits.
Dates at IAS
School of Mathematics