About
I am a 4th-year PhD candidate in Computer Science at the University of New Hampshire, advised by Dr. Sam Carton. My dissertation research sits at the intersection of NLP and automated scientific discovery: I build systems that use Large Language Models to extract structured knowledge from scientific literature, guide experimental design, and close the loop between model predictions and expert evaluation.
My work spans materials science (inverse alloy design, information extraction from technical text), healthcare (clinical trial matching with explainable AI), and conversational search. Throughout, I emphasize rigorous evaluation and human-centered design — working directly with domain experts to ensure systems meet real scientific needs rather than benchmark proxies. This research is supported by the Allen Institute for AI (AI2) OMAI program.
I am on the 2026 academic and industry job market. I am particularly interested in research positions focused on LLM evaluation, scientific AI, or human-AI collaboration.
Research Interests
- Large Language Models for scientific discovery and domain adaptation
- Preference learning under sparse supervision; feedback-driven model optimization for alignment
- Information extraction and trustworthy evaluation of language models
- Multilingual NLP and code-mixed language understanding
- Application domains: Materials Science, Healthcare, Social Science, Education
Education
- Ph.D. Computer Science, University of New Hampshire — 2022–2026 (expected)
Advisor: Dr. Sam Carton - M.S. Computer Science, University of New Hampshire — 2022–2025
Experience
- Graduate Research Assistant, University of New Hampshire — June 2025 – Present
- Graduate Teaching Assistant, University of New Hampshire — Aug 2022 – May 2025
- Research (NLP) Summer Intern, National Board of Medical Examiners (NBME) — Jun–Aug 2023
- Researcher, Stephenson Cancer Research Center — Jun–Aug 2022
- Graduate Assistant, University of Oklahoma — Aug 2021 – May 2022