Machine Learning Research & Software Engineering

Email: [email protected]

LinkedIn | GitHub


I am an undergraduate studying Computer Science and Mathematics at Cornell University.

I have interned at Moloco this summer as a machine learning engineer, exploring the important use cases of deep learning in the ads industry. My tasks focused on leveraging MLSys techniques (ensemble learning & knowledge distillation) to improve the company’s core bidding model, while at the same time lowering its cost after being deployed.

I conduct independent research with Cornell University Artificial Intelligence on enhancing vision-language (VLP). We’ve proposed Distribution Normalization (accepted to NeurIPS 2023), a state-of-the-art augmentation to vision-language models (such as OpenAI CLIP) at inference.

Besides ML engineer, I’m a foodie & cooking enthusiast, classical pianist 🎹, and long-distance runner 🏃!


I’m a fan of classical music, especially the romantic era. I enjoy a wide range of composers: Chopin, Debussy, Beethoven, Tchaikovsky, Mozart, and some more.

I recently started recording some pieces. Listen to my performance at my Soundcloud!


I’m a runner of spring and summer. Ithaca’s cold weather unfortunately makes outdoor exercise impossible during the winter.

Current Personal Bests

2:07:49, Half Marathon, San Francisco Marathon