About Me

About Me

I am a first-year Master of Computer Science student at the University of Illinois Urbana-Champaign(UIUC). I earned my B.S. in Computer Science from New York University (NYU), where I also worked part-time with the NYU High-Performance Computing Team.

I have interned at Scientific Computing Core, Flatiron Institue and served as a research intern at the Scalable Architecture Lab under the guidance of Prof. Yifan Sun before.

My research and professional interests span high-performance computing, parallel computing, computer architecture and machine learning.

Current Focus

I am currently pursuing my Master’s degree while continuing research at the Flatiron Institute, where I focus on optimizing the GPU performance of nifty-ls, an open-source library for high performance Lomb-Scargle periodograms.

Latest News

• [Sep 2025]: My poster “Optimizing and Extending Periodogram Computations for Astronomy” has been accepted for presentation in the SC25 Poster Session! Many thanks to my mentor, Dr. Lehman Garrison.
• [Aug 2025]: Began the Master of Computer Science program at the University of Illinois Urbana-Champaign (UIUC).
• [May 2025]: Started as a High-Performance Computing Intern at the Flatiron Institute, Simons Foundation, under the mentorship of Dr. Lehman Garrison.
• [Mar 2025]: Our work Luthier: A Dynamic Binary Instrumentation Framework Targeting AMD GPUs has been accepted by ISPASS 2025!
• [August 2024]: Joining the Scalable Architecture Lab as a Research Intern to work on the Wafer-Scale GPU Project!
• [August 2024]: Worked at NYU HPC over the summer, contributing to the reformWeb and Reform projects.
• [October 2023]: Competed in the Student Cluster Competition at SC23, achieving 6th place globally.
• [January 2023]: Honored to be selected for the Uber Career Prep 2023: Software Engineering Fellowship Program.
• [April 2022]: Participated in the Google Hardware Product Sprint 2022 as an Electrical Engineering (EE) Engineer, where I developed a PCB-based clock.