← Search

David Richmond

2 accepted papers

2025

Contextualizing biological perturbation experiments through language

ICLR 2025poster

High-content perturbation experiments allow scientists to probe biomolecular systems at unprecedented resolution, but experimental and analysis costs pose significant barriers to widespread adoption. Machine learning has the potential to guide efficient exploration of the perturbation space and extr…

2024

Learning Identifiable Factorized Causal Representations of Cellular Responses

NeurIPS 2024poster

The study of cells and their responses to genetic or chemical perturbations promises to accelerate the discovery of therapeutics targets. However, designing adequate and insightful models for such data is difficult because the response of a cell to perturbations essentially depends on contextual cov…