About me

I am a Postdoctoral Associate at Yale University (starting Jan. 2026), working in the Hoon Cho lab. My research focuses on secure genomic analysis, particularly applications of Homomorphic Encryption.

Previously, I was a Postdoctoral Research Associate at the New York Genome Center & Columbia University (Mar. 2022 - Dec. 2025) in the Gamze Gürsoy’s lab, where I led research on privacy-preserving methodologies for genomic data analysis. I received my Ph.D. from the Department of Mathematical Science at Seoul National University, South Korea, advised by Jung Hee Cheon.

My primary research focuses on practical applications of cryptosystems, especially in homomorphic encryption, privacy-preserving machine learning, and genomic data privacy. I work extensively with Fully Homomorphic Encryption (FHE), optimizing FHE schemes algorithmically and developing algorithms to enable non-arithmetic operations within FHE. In privacy-preserving machine learning, I adapt machine learning algorithms to FHE-compatible formats, utilizing polynomial approximation techniques to achieve secure and efficient computation. My research in genomic data privacy emphasizes designing FHE-based frameworks that enable secure transformations of conventional genomic applications, protecting sensitive genomic information. I am also dedicated to advancing functional encryption by creating schemes that offer enhanced efficiency and functionality.

News and Upcoming Events

• [Jan, 2026] I am starting a new position as a Postdoctoral Associate at Yale University!

• [Feb, 2025] The paper “Secure and Scalable Gene Expression Quantification with pQuant” is published in Nature Communications (link).

• [Nov, 2025] Gave a talk “Homomorphic Encryption for Secure Data Analysis” at Rochester Institute of Technology (NY, United States).

• [Sep, 2025] Gave a talk “Homomorphic Encryption for Secure Data Analysis” at City College of New York (NY, United States).