Agnieszka Geras is a Postdoctoral Research Scientist in the Department of Statistics, working under the supervision of Bianca Dumitrascu. Her primary research interests include Bayesian statistics and probabilistic modeling, particularly with applications in transcriptomics. Currently, she focuses on representation learning, aiming to develop and refine models for investigating tissue regeneration and healing.
