Emma Bouchard

Emma Bouchard is a PhD candidate in Computational and Theoretical Chemistry at Carnegie Mellon University, where she works in the Isayev Lab under Prof. Olexandr Isayev. Her research centers on AI-driven, closed-loop autonomous drug discovery, developing machine learning pipelines and agentic workflows for ADMET property prediction, bioactivity modeling, and protein embeddings, and integrating them with robotics at CMU’s AI Science Foundry to close the design-make-test-analyze loop. Emma has contributed to U.S. Department of Defense research, having held an ORISE Research Fellowship at the U.S. Army Medical Research Institute of Chemical Defense (MRICD). She is an active peer reviewer for the Journal of Chemical Information and Modeling (JCIM) and a recipient of the NSF Graduate Research Fellowship, a Presidential Fellowship, and the Dr. Konrad M. Weis Fellowship. Emma earned her B.S. in Honors Biochemistry, with a minor in Applied Mathematics, from the Robert E. Cook Honors College at