1. May 2025, 'Generalizing from SIMPLE to HARD Visual Reasoning' accepted as a poster at ICML 2025
2. January 2025, 'Instruct-SkillMix' accepted as a poster at ICLR 2025
3. October 2024, 'Instruct-SkillMix' accepted as an Oral presentation at NeurIPS 2024 Workshop and as a poster at NeurIPS 2024 Workshop in Fine-Tuning in Modern Machine Learning
4. May 2023, Graduated Cum Laude from Princeton with a Bachelor’s degree in Mathematics. Thesis: 'Infinite-Width 1-Layer ReLU Networks with L2 Regularization on 2D Data'
5. September 2022, Published the first comprehensive Lecture Notes for COS324 - Introduction to Machine Learning
Research Experience
1. Published paper 'Generalizing from SIMPLE to HARD Visual Reasoning' at ICML 2025
2. Published paper 'Instruct-SkillMix: A Powerful Pipeline for LLM Instruction Tuning' at ICLR 2025
3. Presented paper 'Instruct-SkillMix' as an oral presentation at NeurIPS 2024 Workshop and as a poster at NeurIPS 2024 Workshop in Fine-Tuning in Modern Machine Learning
Education
1. Master of Science in Engineering, Computer Science - Princeton University, Advisor: Prof. Sanjeev Arora
2. Bachelor of Arts in Mathematics - Princeton University, Advisor: Prof. Boris Hanin, Thesis: 'Infinite-Width 1-Layer ReLU Networks with L2 Regularization on 2D Data'
Background
Incoming Ph.D. student in the Department of Computer Science at Princeton University. Previously received M.S.E. in Computer Science (advised by Prof. Sanjeev Arora) and B.A. in Mathematics.