Worked on medical machine learning, including arrhythmia detection and stroke prediction.
Education
Currently a first-year Ph.D. student in Computer Science at Johns Hopkins University, advised by Dr. Vladimir Braverman and Dr. Alex Szalay. Previously, he earned his B.S. in Computer Science and B.A. in Mathematical Economic Analysis from Rice University. At Hopkins, he is also affiliated with the Center for Language and Speech Processing (CLSP).
Background
Research Interests: Large Language Models (LLMs) inference time scaling and reasoning. In the past, he has also worked on medical machine learning, including arrhythmia detection and stroke prediction.