Lixue Cheng (Sherry)

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Lixue Cheng (Sherry) is currently a researcher in Microsoft Research AI4Sci Lab. She graduated with a PhD in theoretical chemistry in California Institute of Technology working with Prof. Thomas F. Miller III in 2022. Sherry received a B.S. degree with quadruple majors in Chemistry, Math, Biochemistry, and Molecular Biology and a minor in Computer Science from University of Wisconsin-Madison.

She is interested in the interdisciplinary research between chemistry, physics, biology, and computer sciences, and passionate about bridging the mind gaps between different areas. Her current research focuses on applications of AI and quantum computing in Chemistry, such as molecular modelling by Molecular Orbital-Based Machine Learning (MOB-ML) method for electronic structure, and deep Quantum Monte Carlo (deep QMC). 

Leveraging the cutting-edge advancements of AI and quantum computing, her research focus on integrating and applying the state-of-the-art tools from AI and quantum computing to speed up the discovery in quantum chemistry, build a foundation model in quantum chemistry, and finally reveal a general approach to solve fundamental quantum many-body Schrödinger equation universally in chemical, biological, and material systems in order to facilitate predictions of molecular properties, unravel the underlying mechanisms of reactions and processes, and design novel drugs and materials.