معرفی
James Shee is the Norman Hackerman-Welch Assistant Professor of Chemistry at Rice University, joining in 2023. His research focuses on developing ab initio computational methods to model weak and strong correlations in transition metal and f-block compounds, with applications in catalysis, magnetism, drug design, and energy storage. He specializes in quantum Monte Carlo techniques, quantum algorithms, and nuclear quantum effects. Prior to Rice, he was a postdoctoral researcher at UC Berkeley under Martin Head-Gordon. He holds a Ph.D. in Chemical Physics from Columbia University (2019) and an A.B. in Chemistry from Princeton University (2014).
His research interests include quantum Monte Carlo (QMC) method development, electronic structure theory, and the intersection of quantum computation with chemistry. The Shee Lab emphasizes practical applications such as metal organic frameworks, drug design, and quantum information processing. He has been recognized with the Ruth L. Kirschstein National Research Service Award (2021) and the Louis Hammett Award (2019).
- Education:
- Ph.D. in Chemical Physics, Columbia University, 2019
- A.B. in Chemistry, Princeton University, 2014
- Awards:
- Ruth L. Kirschstein National Research Service Award (NIH, 2021)
- Louis Hammett Award for Excellence in Graduate Research (Columbia, 2019)
His recent work bridges theoretical innovation with hardware-efficient algorithms for quantum computation, targeting challenges in transition metal chemistry. The lab collaborates on nuclear quantum effects and semi-classical potentials for simulating metal cofactors. Ongoing projects include quantum simulations of strongly correlated molecules using Rydberg atom arrays and optimizing AFQMC for scalable quantum hardware.
