I am a Ph.D. candidate in Computer Science at University of Southern California. My research interests focus on privacy-preserving machine/federated learning, AI safety, applied homomorphic encryption, and differential privacy.
I have had the opportunity to contribute to advancing the security and privacy standards in ML during my time at AWS and TensorOpera AI, mentored by the amazing: Dr. Tancrède Lepoint, Dr. Aws Albarghouthi, Dr. Muhammad Naveed, Dr. Shahin Navardi, and Dr. Chaoyang He.
During my years in school, I was also privileged to work with Prof. Srivatsan Ravi, Prof. Carlee Joe-Wong, Prof. Yuan Tian, and Prof. Wenyuan Xu.
Ph.D. Candidate in Computer Science
University of Southern California
MEng in Computer Engineering, 2020
University of Virginia
BEng in Electrical Engineering, 2018
Zhejiang University
AWS Privacy & Security Automation, Applied Scientist Intern, Amazon, May 2024 - Aug. 2024
AWS Privacy Engineering, Applied Scientist Intern, Amazon, May 2023 - April 2024 (extended)
Privacy-Preserving Federated Learning, ML Privacy Researcher, TensorOpera AI, Oct. 2022 - Mar. 2023
Buyer Risk Prevention, Applied Scientist Intern, Amazon, May 2022 - Aug. 2022
Networking & Cybersecurity Division, Graduate Research Assistant, USC-ISI, Aug. 2020 - Now
Security Lab, Student Research Assistant, UVa, Oct. 2018 - May 2020
USSLAB, Student Research Assistant, ZJU, Oct. 2017 - June 2018