Shreya Chappidi
Welcome! I am a PhD Researcher at the University of Cambridge and the National Institutes of Health.
My research sits at the intersection of human-computer interaction and responsible AI, often with application to clinical medicine.
My work is supported through the NIH Oxford-Cambridge Scholars Program, the Cambridge Trust, and the Stamps Scholarship at Queens’ College, University of Cambridge.
I am jointly supervised by Dr. Andra Krauze and Prof. Jat Singh.
My collaborations have spanned industry, government, and academia. I have worked on co-designing AI systems
with clinicians and computer scientists as a Fellow at the National Institutes of Health.
I also have experience evaluating the impacts of technology on users, law/policy, and other stakeholders during research internships and roles held at Microsoft Research and the Institute for Law, Psychiatry, and Public Policy.
Some of my research projects include:
AI Abandonment
Sociotechnical System Design for Human-AI Decision Making, including
- workflow ordering [FAccT '22 paper]
- user expertise, algorithmic tuning, & complementarity [TOCHI '23 paper]
- LLM role assignment [CHI '26 paper]
Data Curation & Documentation Practices During Algorithmic Development
- Accountability capture created by algorithmic record-keeping requirements [AIES '25 paper]
- Influence of data modality and ground truth methodologies when evaluating clinical algorithms [PLOS Digital Health paper]
- Structured documentation frameworks to support reviewability of LLM-supported data curation [CHI '26 workshop paper]