Michael Webb is an Assistant Professor in the Chemical and Biological Engineering department at Princeton University and affiliated faculty with Andlinger Center for Energy and the Environment, Center for Statistics and Machine Learning, Princeton Institute for Computational Science and Engineering, and the Princeton Materials Institute. Prior to joining Princeton, he obtained his B.S. from UC Berkeley in 2011 and his Ph.D from Caltech in 2016, both in Chemical Engineering. He performed postdoctoral study at the University of Chicago and Argonne National Laboratory between 2016-2019.
His current research emphasizes computational approaches and theory for understanding and designing materials, primarily polymer-based, for diverse applications. Specific interests relate to characterizing interfacial phenomena and physics in heterogeneous environments, simulating and controlling the behavior of stimuli-responsive systems, and formulating data-efficient strategies for machine learning of polymer properties. He is a recipient of the NSF CAREER award, a Howard B. Wentz Junior Faculty award at Princeton University, a Doctoral New Investigator award from the ACS Petroleum Research Foundation, an ACS OpenEye Outstanding Junior Faculty Award, and a commendation for outstanding teaching. He has also been featured as an `Emerging Investigator’ in the journal Molecular Systems, Design, & Engineering and as a `Rising Star’ in ACS Polymers Au.