About me

I am a Postdoctoral Research Associate in the Gamze Gürsoy’s lab starting March 2022. I received Ph.D. degree from the Department of Mathematical Science, Seoul National University in Seoul, South Korea, advised by Prof. Jung Hee Cheon. My main research topics are practical aspects of cryptosystems, including homomorphic encryption and privacy-preserving machine learning applications.

I am a Postdoctoral Research Associate in the Gamze Gürsoy’s lab, where I have been working since March 2022. 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

• [Oct, 2024] The paper “Ultra-Secure Storage and Analysis of Genetic Data for the Advancement of Precision Medicine” is accepted for publication in Genome Biology.

• [Jun, 2024] The paper “Privacy-preserving model evaluation for logistic and linear regression using homomorphically encrypted genotype data” is accepted to Journal of Biomedical Informatics.