Ashenafee Mandefro

Exploring Perturbation Effects on Transcriptional Dynamics with ContrastiveBiVI

A contrastive latent variable model for studying the effects of perturbation on transcriptional kinetics using bimodal single-cell RNA sequencing data. Accepted to the MLGenX and LMRL workshops at ICLR 2026.

Leveraging Prior Information for Modelling Combinatorial Perturbation Effects in Single Cells

Benchmarked whether biological priors help deep generative models generalize to unseen combinatorial genetic perturbations in single-cell data.

insitro

Conducted applied research at the intersection of machine learning and single-cell biology, developing and evaluating generative models to study how perturbations reshape gene expression.

Pytri

Built computer vision pipelines and high-throughput APIs to automate gel electrophoresis analysis, connecting molecular biology workflows with modern object detection.

University of Toronto

University of Toronto

St. John Henry Newman Catholic High School