معرفی
Dr. Tanvi Banerjee is an Associate Professor in the Department of Computer Science and Engineering at Wright State University with a secondary appointment in the Department of Geriatrics at Boonshoft School of Medicine. She leads the Data Science for Healthcare (DASH) lab, focusing on AI-driven solutions for healthcare challenges. Her research integrates multimodal data fusion, wearable sensing, and machine learning to develop tools for dementia management, sickle cell disease monitoring, and chronic pain assessment.
Education includes a Ph.D. and Master's degree from the University of Missouri (2014), where she researched elder care technologies at the Center for Eldercare and Rehabilitation Technology (CERT).
Research Interests: Her work bridges clinical knowledge with data science through non-invasive sensing, including:
- AI for early dementia detection using smartphone/wearable data
- Multimodal fusion of physiological/behavioral data for chronic disease management
- NLP analysis of clinical texts and social media for public health insights
- Fairness-aware machine learning in healthcare applications
Publication Trends: Recent articles (2023-2025) demonstrate strong focus on:
- Transformer-based phenotyping from clinical/EHR data
- Wearable sensor development for pain/cognition monitoring
- Algorithmic fairness in healthcare AI
- Social media analysis for public health surveillance
Awards & Grants:
- NIH K01 Career Development Award for dementia management technology (2016)
- Co-investigator on NIH R01 grants for sickle cell disease and asthma management
Advising & Labs: Mentors 6 PhD students and 15+ past advisees in the DASH lab. Current research includes DOE-funded manufacturing analytics and USAF-supported supply chain NLP projects. The lab specializes in developing clinical decision support systems using multimodal data.
