About me
I am a second year Computer Science Ph.D. student at Johns Hopkins University advised by Dr. Vladimir Braverman and Dr. Alex Szalay. Previously, I earned my B.S. in Computer Science and B.A. in Mathematical Economic Analysis from Rice University. At Hopkins, I am affiliated with the Center for Language and Speech Processing (CLSP).
My research focuses on large language model (LLM) reasoning, post-training, and inference-time scaling. If you are interested in these topics and would like to talk with me, feel free to send me an email and I’m happy to chat!
News
- Apr. 2026: Our paper on Enhancing Large Reasoning Models via Decoding Tree Sketching is accepted to ICML!
- Aug. 2025: Our paper on Mitigating Confidence Distortion for Large Language Models is accepted to EMNLP Findings!
Publications
- Learning at the Right Pace: Adaptive Data Scheduling Improves LLM Reinforcement Learning ArXiv. [paper]
- Demystifying OPD: Length Inflation and Stabilization Strategies for Large Language Models ArXiv. [paper]
- DTS: Enhancing Large Reasoning Models via Decoding Tree Sketching. ICML 2026. [paper]
- Self-Ensemble: Mitigating Confidence Distortion for Large Language Models. EMNLP 2025 Findings. [paper]