#computational-biology

#computational-biology

Amazon Bio Discovery enables scientists to run complex computational workflows through more than 40 AI-specialized foundational models, trained on a wide range of biological datasets. These models generate and evaluate potential drug molecules, alongside AI agents that help scientists to select models, optimize inputs and evaluate candidates according to their research.

A new PhD track is being added to the Walter S. and Lucienne Driskill Graduate Program in Life Sciences ( DGP) for the 2026 application cycle, to enhance student learning and build community around computational biology and bioinformatics at Feinberg. The computational biology and bioinformatics (CBB) track in the graduate program will prepare students through coursework and lectures to use modern computational approaches, including machine learning and artificial intelligence, to extract biological insight from large-scale datasets to address complex biological problems.

Our goal is to create computational tools so that cell biology goes from being 90% experimental and 10% computational to the other way around.