User Portlet
Joshua Schrier is a physical chemist interested in using computers to accelerate the discovery of new materials, by using a combination of physics-based simulations, cheminformatics, machine learning, and automated experimentation. He is the Kim B. and Stephen E. Bepler Professor of Chemistry at Fordham University in New York City. Prior to joining Fordham in 2018, he was on the faculty at Haverford College (2008-20118), and a Luis W. Alvarez computational sciences postdoctoral fellow at Lawrence Berkeley National Laboratory (2005-2008). He received bachelors degrees in chemistry and biochemistry from St. Peter's College (2000), and a doctoral degree in theoretical physical chemistry from the University of California, Berkeley (2005). As a faculty member, he has received awards including the Dreyfus Teacher-Scholar, U.S. Department of Energy Visiting Faculty, and Fulbright scholar awards.
- Machine learning regression analysis for hypothesis generation in physical chemistry lab
- Undergrad Lab: Machine Learning for Functional Group Identification in Vibrational Spectroscopy
- Using Laboratory Automation and Data Science to Determine the Solubility Product of Lead Iodide
- Three LLM Summarization Strategies