ABOUT DEBORA MARKS
Debora established her laboratory 5 years ago after a career in industry and more recent degrees in mathematics and computational biology, aiming to accelerate fundamental discoveries in biomedicine. Developing robust statistical methods including unsupervised machine learning, Debora’s lab was able predict 3-dimensional protein structures from sequence alone, predict the fitness effects of human genetic variation, make robust generative models for therapeutic and antibody design and design deimmunization. Most recently she has extended these new tools to apply in dimension reduction and multimodal modelling of diverse biological and clinical data, including benchmarked approaches to combinations of RNA, protein and image data.
Mission to develop AI for design of biological interventions for human health and social justice.