Bio (public reuse)
Brett M. Savoie is the Coyle Mission Collegiate Professor of Engineering at the University of Notre Dame, where he directs the Scientific Artificial Intelligence Initiative and serves as a deputy director of the University's Data, AI, and Computing Initiative. Before joining Notre Dame in 2024, he spent seven years on the chemical engineering faculty at Purdue. He studied chemistry and physics at Texas A&M, earned his Ph.D. in theoretical chemistry at Northwestern, and completed postdoctoral training at Caltech. His research has been recognized by the NSF CAREER and Office of Naval Research Young Investigator programs, the inaugural Dreyfus Program for Machine Learning in the Chemical Sciences and Engineering, and the 2025 Journal of Physical Chemistry / ACS PHYS Division Lectureship.
My group develops methods to accelerate research and technology transfer in chemical and material design contexts. Past and ongoing work spans automated reaction discovery and kinetic modeling of battery-electrolyte degradation; multiscale modeling and design of plastics; and materials design projects in organic semiconductors, perovskites, and circular plastics. To succeed in these areas we’ve invented and adapted new machine learning methods to improve the speed of discovery. Our ongoing interests are in new modes of discovery in AI-enabled science and engineering. This includes developing methods for effective multimodal inference over scientific corpora; optimal workflows to maximize information content and reproducibility; and new ways of capturing and disseminating experimental data.