Ashburn, Virginia, United States
I am a PhD student in Computer Science at Cornell University specializing in AI for Science. My research focuses on developing AI tools that accelerate scientific discovery by addressing practical scientific bottlenecks.
Visiting student researcher in the Branson Lab at HHMI’s Janelia Research Campus, working on AI for neuroscience within the Computation and Theory research area.
Conducted research in applying inference-time scaling methods to diffusion models for infrared data generation.
Involved in numerous research projects in AI for Science focused on leveraging LLMs for molecular design and peptide analysis, as well as in NLP and CV.
Conducted research in training and applying custom machine learning and natural language processing models to extract complex material and property relationships between materials classes of interest from chemical research literature.
Leveraged AWS AI services to build proof-of-concept live voice transcription and translation feature as part of the AWS Connect Voice team. Benchmarked performance of three-model AI service pipeline using standard evaluation metrics such as BLEU.
Served on course staff of CS/INFO 4300: Language and Information as a teaching assistant. Graded assignments, developed exam questions, held office hours to help students with course content and assignments, and aided in assignment updates and revisions.
Served on course staff of CS 4740/5740: Natural Language Processing as a teaching assistant. Graded assignments, authored and tested new programming assignments, and held office hours to help students with course content and assignments.
Served on course staff of CS 4300: Language and Information as a teaching assistant. Graded assignments, developed exam questions, held office hours to help students with course content and assignments, and aided in assignment updates and revisions.