About Me

I am a Ph.D. candidate in the Department of Electrical and Computer Engineering at Princeton University (currently on leave), and I am very fortunate to be advised by Prof. Sun-Yuan Kung. I am also the founder of Elfen AI, where we build secure agentic infrastructure and automation systems for manufacturing, legacy supply chains, and defense. My research focuses on machine learning, particularly in model compression and efficient fine-tuning of large language models. Additionally, I have been awarded the Gordon Wu Fellowship from Princeton University.

Education

Ph.D. Candidate in Electrical and Computer Engineering, Princeton University (On leave)

M.A. in Electrical and Computer Engineering, Princeton University (2024)

B.S. in Computer Information Technology, Purdue University (2022)

Graduated with highest distinction (GPA: 3.96 / 4.0)

Assistant in Instruction (AI) Experience

• ECE 115 Introduction to Computing: Programming Autonomous Vehicles
• EGR 154 Foundations of Engineering: Linear Systems （Head TA）

Awards

• Gordon Y.S. Wu Fellowship in Engineering - 2022
• Best Session Paper Award in 2021 Springer IHCI
  • Session Name: Machine Learning for HCI
  • Paper Title: Attitude Control for Fixed-Wing Aircraft using Q-Learning

• 3rd place in the SAE (Society of Automotive Engineers) Mobility Forward Challenge: AI Mini-Challenge Competition - 2021

• Award for Best Visualization in Purdue’s 7th Annual ASA DataFest Competition - 2021

• Finalist in the Illinois Technology Association (ITA) Tech Challenge Programming Competition - 2019