PICS Colloquium: “Workflows, Datasets and Models for Active Discovery in Catalysis”
March 26 at 2:00 PM - 3:00 PM
Professor Zachary Ulissi
Assistant Professor at Carnegie Mellon University
Zachary Ulissi is an Assistant Professor of Chemical Engineering at Carnegie Mellon University. He works on the development and application of high-throughput computational methods in catalysis, machine learning models to predict their properties, and active learning methods to guide these systems. Applications include energy materials, CO2 utilization, fuel cell development, and additive manufacturing. He has been recognized nationally for his work including the 3M Non-Tenured Faculty Award and the AIChE 35-under-35 award among others.