Tahmina Sultana Priya
Explainable patient subtyping for precision medicine
PhD Student
Department of Computer Science, Virginia Polytechnic Institute and State University
Your week at a glance
- Small group — you facilitate Group 6 · Andromeda on Day 5 (Stress-test).
- Poster — Day 7 (Sun, Jun 28) · Session A (9:15–10:15 AM).
Tahmina Sultana Priya is a Ph.D. Candidate in Computer Science at Virginia Tech. Her research focuses on machine learning for health, explainable AI, and precision medicine, with an emphasis on interpretable, algorithm-driven models for prognosis, subgroup discovery, and clinical outcome analysis in complex disorders. She has experience as a bioinformatics research intern and has collaborated with the Mayo Clinic, where she worked with electronic health records and multi-omics data to advance precision medicine. She holds an M.S. from Virginia Tech and a B.Sc. from Khulna University of Engineering & Technology, Bangladesh, both in Computer Science. She is currently preparing for her Ph.D. defense and seeking research opportunities, with a long-term goal of pursuing a career in academia. She is a highly motivated and independent researcher with a strong work ethic and a passion for tackling new challenges to create meaningful societal impact. She also enjoys meeting new people, socializing, and traveling.
Awards & honors
Recognition
- Pratt Fellowship, Virginia Tech (2024–2025)
- Dean's Award, Khulna University of Engineering & Technology (2017–2018, 2019–2020)
- 1st Runner-up, Textile Fest KUET — Fire-fighting Robot Project
- Government Scholarships, Bangladesh (General and Talent Pool)