معرفی
Michael P. Burke is an Associate Professor of Mechanical Engineering at Columbia University and a member of the Data Science Institute (DSI). He holds affiliations with the Computing Systems for Data-Driven Science and Foundations of Data Science centers. Prior to his faculty role, he served as a Director’s Postdoctoral Fellow at Argonne National Laboratory. Burke earned his Ph.D. in Mechanical and Aerospace Engineering from Princeton University, focusing on high-pressure hydrogen combustion kinetics.
His research integrates multi-scale modeling, data sciences, and automation to study complex reaction networks in combustion and energy systems. Key projects include predicting biofuel emissions, optimizing battery additives, and analyzing greenhouse gas lifetimes. He develops experimental platforms for autonomous kinetic model refinement and addresses uncertainties in combustion chemistry through data-driven approaches.
Burke’s work spans interdisciplinary collaborations in energy devices, materials science, and atmospheric chemistry. His experimental techniques involve high-throughput automated experiments and synchrotron-based measurements, paired with advanced computational modeling. He has contributed to resolving discrepancies in reaction kinetics via multiscale informatics and developed frameworks for chemically termolecular reactions.
Notable achievements include advancing hydrogen and ammonia combustion models, and the CAREER grant for nitrogen kinetics modeling. He actively participates in community-driven combustion mechanism development and standards for kinetic data sharing.
