Ladislav Rampasek

Ladislav is a postdoctoral fellow investigating questions at the intersection of graph representation learning, graph signal processing, and geometric deep learning in the groups of Guy Wolf (UdeM) and William L. Hamilton (McGill).

He completed his PhD at the University of Toronto in Anna Goldenberg’s group, where he developed latent-variable models for cancer treatment outcome prediction and drug perturbation effect modeling.