Daniel Grzenda is currently an NSF Fellow studying Computer Science at the University of Chicago. He is a member of Globus Labs advised by Ian Foster and Kyle Chard. His work is focused on building systems to make AI-driven discovery faster, cheaper, and more resource-efficient. Before returning to pursue his Ph.D., Daniel worked at two biotechnology startups in the Bay Area and led initiatives for non-profit data science at the University of San Francisco and the University of Chicago. He has received a Master’s degree in Data Science from the University of San Francisco and undergraduate degrees in Biology and Computer Science from the University of Vermont.
