I’m a PhD candidate in Information Science at Cornell University, where I’m advised by Matthew Wilkens. My research focuses on developing and evaluating clinical AI.

Here are a few projects I am particularly proud of:

1. Developing clinical AI:
   • in the Nursing Research team at Microsoft, I have developed and tested a pipeline simulates reinforcement-fine-tuning via prompt optimization adapting their nursing AI scribe, Dragon Copilot, to hospital-specific documentation practices;
   • at NYC Health + Hospitals, I demonstrated that revising alert criteria can reduce unnecessary alerts by up to 94%, while improving alert design can decrease overridden alerts by up to 64%.
   • by fine-tuning small language models I analyzed user needs and support strategies in endometriosis online communities finding that patients need easier access to appointments; I then expanded this work by analyzing patients’ perceptions of ablation and excision surgery with few-shot learning
2. Evaluating clinical AI:
   • I developed VERT, an LLM-based metric for the assessment of radiology reports, with Jean-Philippe Corbeil and Asma Ben Abacha.
   • I created the CQA-Eval framework for the evaluation of multi-paragraph model-generated answers to consumer health questions with Lucy Lu Wang and Yue Guo.

Some other cool stuff:

• at the Allen Institute for Artificial Intelligence (Ai2) under the guidance of Jay DeYoung I’ve built a system that suggests reformulated queries to users to assist them with finding the desired information. Our system increases increases the recall of scientific information in the output of the Asta AI research assistant by 50%.
• With Ian Lundberg and Matthew Wilkens I have designed a randomized survey experiment with 3,000 participants to measure the causal effect of character gender on reader preferences. I found that character gender has a minimal effect on readers’ preferences, contradicting a long standing belief in the publishing industry that men and boys are only interested in reading about people of the same gender identity.

I strive to ground my work through the theoretical frameworks of ethics of care and studying up. I enjoy using a combination of quantitative - NLP, causal inference, statistical analysis - and qualitative methods - surveys, annotations, interviews.

News

Mar 2026	Joining Microsoft as PhD Research Intern working on Dragon Copilot for Nursing this Summer!
Jan 2026	The Cornell Chronicle covered my paper on gender and readership and I was invited to speak about it on The Last Show with David Cooper.
Dec 2025	My Research Intern position at the Allen Institute for AI is extended until April 2026
Sep 2025	My paper “Causal Effect of Character Gender on Readers’ Preferences” is accepted to CHR 2025!
Feb 2025	Paper published in the Journal of Medical Internet Research!