Michelle is a computational chemist in the Molecular Profiling and Drug Delivery at AbbVie, supporting drug development programs across the discovery–development continuum. Her work and research interests include prediction of physicochemical/ADME properties of synthetic molecules and conjugates, developability and solid form design, and computational technologies such as AI/ML and quantum computing. She previously worked at Avant-Garde Materials Simulation in Germany as a research scientist in crystal structure prediction. She obtained a B.S.E. in chemical engineering at Princeton University in 2013 and a Ph.D. in chemical engineering from the University of California, Berkeley in 2019.