Queenie Luo

Queenie Luo

Ph.D. Candidate in Religion
headshot of Queenie Luo, an Asian female with long hair and a headband

Queenie Luo is a Ph.D. candidate in Religion/Philosophy. Her research focuses on leveraging computational techniques to study early Chinese society, specifically employing techniques from Natural Language Processing (NLP) and Reinforcement Learning (RL). Queenie is also actively involved in the field of AI ethics. Her work attempts to understand AI within a broader social, political, and historical framework, applying ethical and philosophical theories to understand how AI impacts today's society at large. (Visit Queenie's scholarly website for more information.)

Queenie 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. 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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