I am a Ph.D. student in the Department of Electrical and Computer Engineering at Rutgers, The State University of New Jersey, working with Prof. Anand Sarwate. I earned my Master’s degree from the University of Rochester in 2019 and my Bachelor’s degree from South China University of Technology in 2014.

My research interests lie in applying differential privacy to visualization, developing distribution approximation methods under privacy constraints, and applying machine learning and deep learning techniques such as transformers to neuroimaging data analysis.

Publications

Conference

Journal

Awards

SGS Research & Conference Travel Award, Rutgers University, 2024
Awarded a $1,000 stipend to support scholarly activities in the 2024–2025 academic cycle by the School of Graduate Studies.

Graduate Scholarship, University of Rochester, 2017
Received a tuition scholarship during the M.S. program in Electrical and Computer Engineering.

Internship

LinkedIn Corporation

Applied Research Intern, May 2024 – August 2024
Worked on ads recommendation, optimizing ranking systems through reinforcement learning techniques.

Applied Research Intern, May 20243 – August 2023
Designed an end-to-end GAI system using large language models to enhance productivity in sales and marketing.

Applied Research Data Science Intern, May 20242 – August 2022
Built a multi-task learning framework to capture universal patterns across multiple datasets for diverse prediction tasks in the Go-To-Market domain.

Teaching Experience

Rutgers University

Teaching Assistant
Machine Learning (Fall 2023)
Linear Systems and Signals (Fall 2020, Fall 2023)

University of Rochester

Teaching Assistant
Digital Signal Processing (Fall 2018)