Events

ML in NYC Speaker Series: Interpretable Representation Learning for Wound Healing Dynamics

Speaker: professor Bianca Dumitrascu

Location: TBA

Date: Tuesday, January 28, 2025

Single-cell RNA-seq enables the study of cell states across diverse biological conditions, such as aging, drug treatments, and tissue injury. However, disentangling shared and condition-specific transcriptomic patterns remains a significant computational challenge, particularly in settings with missing data or complex experimental designs. In this talk, I will introduce Patches, a deep generative framework designed to disentangle these transcriptomic signals, allowing for robust integration, cross-condition prediction, and biologically interpretable insights. Using real and simulated scRNA-seq datasets, we demonstrate how Patches uncovers shared wound healing patterns and distinct changes in cell behavior, including age-dependent immune responses and drug-modulated extracellular matrix remodeling. Finally, I will discuss open problems towards a pipeline for synthetic regeneration which includes identifying and designing targeted therapeutic interventions to accelerate wound healing.

 

Register: https://www.eventbrite.com/e/1217253320449

Location: 162 5th Avenue Ingrid Daubechies Auditorium, New York, NY 10010