About
I am a 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 develop language models that learn from expert-derived, physics-based feedback to advance fields like materials design, while also maintaining broad interests in trustworthy LM evaluation and code-mixed NLP.
My work is supported by the joint NSF-NVIDIA Open Multimodal AI Infrastructure to Accelerate Science (OMAI) initiative, and has been recognized at premier academic venues, including ACL, JCDL (Best Paper Nominee), and the NeurIPS AI4Mat Workshop (Spotlight).
I am presently returning to the National Board of Medical Examiners as an NLP Scientist II Intern, adding to my previous industry and clinical research experience at the NBME and the Stephenson Cancer Research Center. I expect to defend my dissertation in the Spring 2027 semester and will be on the industry research scientist and postdoctoral job market, seeking roles 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 — 2022–2027
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