Andrew White is an associate of professor at the University of Rochester in chemical engineering with affiliate appointments in chemistry, biophysics, materials science, and data science. He has a Ph.D. in chemical engineering from the University of Washington and did postdoc training in chemistry at the University of Chicago. White's research group studies the deep learning and molecular simulation of peptides and small molecules. He and his group work on the adaption of deep learning to chemistry and materials, with research on graph neural networks, explaining deep learning models, large language models, and Bayesian optimization. Andrew has won young investigator awards from NSF and NIH, professional society awards in chemical engineering, teaching awards from the University of Rochester, and engineer of the year in Rochester, NY. Andrew's group is currently funded by the DOE, NSF, and NIH.