Mohammed AlQuraishi is a Departmental Fellow in Systems Biology at Harvard Medical School, where he runs a research group operating at the intersection of machine learning, statistical mechanics, and biophysics. His research focuses on developing computational models of biomolecules and their interactions, including de novo prediction of protein structures, protein-protein interactions, and protein-small molecule interactions. He has used these models to probe the combinatorial code underlying signaling pathways in humans, and to understand how genetic mutations rewire the circuitry of cancer cells. More recently, he developed the first end-to-end differentiable model for learning protein structure directly from data. Prior to the start of his academic career, Mohammed spent three years founding three startups in the mobile computing space. He holds an M.S. in Statistics and a Ph.D. in Genetics from Stanford.