معرفی
Dr. Vipina K. Keloth is an Associate Research Scientist in the Department of Biomedical Informatics & Data Science at Yale School of Medicine. She holds a PhD in Computer Science from New Jersey Institute of Technology (2021) and has prior postdoctoral experience at Yale BIDS and the University of Texas Health Science Center. Her expertise includes biomedical ontologies, clinical natural language processing (NLP), and social determinants of health (SDOH).
Education & Training:
- Postdoctoral Associate, Yale University (2024)
- Postdoctoral Research Fellow, University of Texas Health Science Center (2023)
- PhD, New Jersey Institute of Technology (2021)
- MS, National Institute of Technology Karnataka (2014)
- MSc, Mahatma Gandhi University (2010)
- BS, Kannur University (2007)
Research Focus: Dr. Keloth develops AI-driven solutions for clinical text analysis and EHR optimization. Her work emphasizes entity recognition, ontology integration, and large language model applications in healthcare. Recent projects include:
- LLM-based detection of gastrointestinal bleeding in EHRs
- Unified ontologies for SDoH and clinical data
- Federated frameworks for multi-institutional healthcare analytics
Collaborations: Frequently collaborates with Prof. Hua Xu, Dennis Shung, and Qingyu Chen on biomedical NLP and health informatics projects. Active in AMIA and journal review roles.
Grants & Labs: Engaged in National Institutes of Health-funded projects on EHR mining and functional status ascertainment. Leads Yale BIDS initiatives in AI-driven clinical decision support systems.
