Queenie Luo

Ph.D. Candidate in Religion
Unofficial EALC logo: a line drawing of a Fu lion in profile, facing left, against a background of deep crimson
queenieluo@g.harvard.edu
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Queenie Luo graduated summa cum laude from Columbia University with a B.A. in Religion and Physics in 2018, completed her M.T.S in Buddhist Studies at Harvard Divinity School in 2020, and her M.S degree in Data Science at Harvard John A. Paulson School of Engineering and Applied Sciences in 2023. (Visit Queenie’s scholarly website for more information.)

Her dissertation applies the latest computational techniques in Generative AI, Natural Language Processing (NLP), Computer Vision (CV), and Reinforcement Learning (RL) to study Chinese history during the Warring States period. Queenie also works with faculty in computer science, statistics, and social science on large language models, focusing on fairness, ethics, and social implications.

Before coming to Columbia, Queenie spent three years studying Fashion Design at Parsons School of Design in New York. In 2018, Queenie received the Phi Beta Kappa Prize, which is awarded to the candidate who best represents the ideals of the society—intellectual integrity, tolerance for other views, and a broad range of academic interests. Queenie led the Norbu Ketaka project to clean 1,000,000 pages of Classical Tibetan manuscripts using NLP and Computer Vision methods, and donated the database to the Buddhist Database Resource Center (BDRC) upon completion. Queenie also works at the Institute for Quantitative Social Science (IQSS) on the China Biographical Database project (CBDB), where she developed the Lepton, Kraft, and TITO models, which have successfully assisted CBDB in expanding its database repository by employing NLP techniques.

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