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## Biography
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> **Automating Materials Synthesis: An Enabling Technology for Data Collection and AI in Materials Research**
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Joshua Schrier is a physical chemist interested in using computation and data to accelerate the discovery of new materials, 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. As a faculty member, he has received awards including the Dreyfus Teacher-Scholar, U.S. Department of Energy Visiting Faculty, and Fulbright scholar awards. He received his doctoral degree from the University of California, Berkeley, and was the Luis W. Alvarez Postdoctoral Fellow in Computational Sciences at Lawrence Berkeley National Laboratory. In addition to research work, he is interested in undergraduate education in computational approaches to chemistry (broadly defined) and is the author of the textbook Introduction to Computational Physical Chemistry. |
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