Gregory Doerk is a staff scientist at the Center for Functional Nanomaterials (CFN), a Department of Energy (DOE) scientific user facility operated at Brookhaven National Laboratory. Dr. Doerk earned his PhD in Chemical Engineering from the University of California, Berkeley in 2010. Prior to joining the CFN, he performed research at IBM investigating polymer self-assembly for integrated circuit patterning, and then at HGST, a Western Digital company, on magnetic patterned media nanofabrication. Dr. Doerk is a recipient of the 2021 DOE Office of Science Early Career Research Program Award. His current research merges polymer self-assembly, new instrumentation and high-throughput methods to produce new materials for chemical separations, molecular templating and nanolithography.

Andrew Zahrt was born and raised in West Michigan. He attended Aquinas College majoring in Biology and Chemistry before pursuing his PhD in Chemistry at the University of Illinois at Urbana Champaign with Scott Denmark. While there, he explored machine learning solutions for enantioselective catalyst design. After graduating in 2020 he moved to the lab of Klavs Jensen in the Chemical Engineering department at the Massachusetts Institute of Technology where he developed a machine learning workflow for reaction discovery using automated experimentation. In July of 2023, he began his independent career as an assistant professor in the department of Chemistry at the University of Pennsylvania (Prof. Zahrt’s Full Bio).

Chris Callison-Burch is an associate professor of Computer and Information Science at the University of Pennsylvania. His course on Artificial Intelligence has one of the highest enrollments at the university with over 500 students taking the class each Fall.  He is best known for his research into natural language processing with more than 100 publications, which have been cited over 25,000 times.  In 2023, Prof Callison-Burch testified before congress about generative AI.

Gwen Ottinger is a Professor at Drexel University whose research integrates empirical social science and normative political theory. They are especially interested in the potential of science and technology to promote environmental justice (EJ); their Fair Tech Collective research group develops data infrastructures and policy recommendations to support EJ communities’ use of air quality information. Ottinger has received recognition for their work from the Society for Social Studies of Science (Rachel Carson Prize, 2015) and the Western Political Science Association (Environmental Political Theory Paper Prize, 2021). Their research grants and fellowships include an NSF CAREER award, an ACLS-Burkhardt Fellowship, and a Fulbright Research Chair at the University of Ottawa.