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Joonho Lee is an Assistant Professor in the Department of Chemistry and Chemical Biology at Harvard University. His research group focuses on developing and implementing theoretical computational methods to study a wide range of exciting phenomena in nature, particularly examining electron-electron, electron-vibration, vibration-photon, and electron-photon interactions. The current emphasis of his research is on quantum chemistry methods for condensed phase problems, quantum algorithms for addressing chemical issues, and computational modeling of electrocatalysis. Joonho's work also involves understanding the application of perovskites in solar technology and exploring challenges related to moiré materials. He completed his Ph.D. in chemistry at the University of California, Berkeley, under the guidance of Professor Martin Head-Gordon, where he contributed significant developments such as regularized perturbation theory and coupled-cluster valence bond theory for strong correlation. His dissertation was recognized with the 2020 Justin Jankunas Doctoral Dissertation Award from the American Physical Society. After graduating in 2019, Joonho undertook a postdoctoral position with the Reichman group at Columbia University, honing his expertise in materials, quantum dynamics, and vibronic problems. Recently, he served as a visiting faculty researcher at Google Quantum AI, working on quantum algorithms for electronic structure problems. Joonho joined the CCB faculty in July 2023 and is committed to fostering a diverse research environment welcoming motivated graduate students and postdocs.
Harvard University • Cambridge, MA
Joined the Department of Chemistry and Chemical Biology as a faculty member.
Columbia University • New York, NY
Conducted research in the Reichman group focusing on materials, quantum dynamics, and vibronic problems.
Google Quantum AI • Mountain View, CA
Developed and applied quantum algorithms for electronic structure problems.
Administered by the Harvard Kenneth C. Griffin Graduate School of Arts and Sciences (GSAS).