Daniel Levine

Daniel Levine is a highly accomplished scientist with a robust background in chemistry and research. Currently serving as a Research Scientist at Meta's FAIR Chemistry team since February 2024, Daniel focuses on developing advanced AI models for applications in materials science and climate research. Previously, as a Principal Scientist I at Schrödinger, contributions included developing machine learning approaches for protein structure prediction and automated workflows in quantum chemistry. Daniel's academic experience includes a recent role as a Faculty Lecturer at the University of California, Berkeley, and extensive research positions at institutions such as the Massachusetts Institute of Technology and Rutgers University. Daniel holds a Bachelor of Science in Chemistry from MIT and a Ph.D. in Chemistry from UC Berkeley.