Michael specializes in basic and applied research towards a variety of scientific, technical, and economic domains sitting at the deep tech and commercial interface.
Prior to joining Engine No. 1, Michael built and led data science teams at several global organizations including Syngenta, Point72 Asset Management, IBM, Mars, and the Coca-Cola Company, as well as with several startups in the technology, fintech, and commodity sectors. Most of his work sits at the agriculture-water-energy-infrastructure nexus. Michael has spent two decades as a scientist, engineer, and economist in a wide variety of sectors with direct applications for Engine No. 1’s investment strategy. He has been an affiliate scientist at the National Center for Atmospheric Research and the MIT Media Lab, and he is also a senior fellow at the Wharton School.
Michael earned his PhD from Rutgers University focusing on computational fluid dynamics and environmental biophysics, where his research centered on better understanding the industrial/environmental interface and the earth/space/biosphere complex from both an information systems and an evolutionary perspective. His doctoral work in numerical modeling and applied mathematics was supported by the NASA Goddard Institute for Space Studies in Manhattan.