Awards and Education
Recognition for trustworthy AI, medical imaging research, and technical mentorship.
Recognized for M.S. thesis research on clinical reliability and trustworthy AI infrastructure, including discriminative fact-checking models for radiology report verification and the RadCheck dataset.
Award pageM.S. thesis nominated by RPI for Best Thesis Award consideration by the Northeastern Association of Graduate Schools.
Selected from 300+ submissions to the RPI UPAC Student Film Festival for the short film EXIST.
Recognized for original research on social, cultural, policy, and ethical issues at the intersection of data science, technology, and society.
Education
Ph.D., Biomedical Engineering, 2026 - Present
Advisor: Prof. Purang Abulmouselmi. Research interests include multimodal AI, computer vision, medical imaging, and text analytics.
M.S., Biomedical Engineering, 2023 - 2026
Thesis: trustworthy AI for radiology report verification using image-driven, discriminative fact-checking models.
B.A., Data Science, Domain Emphasis in Cognition, 2018 - 2022
Professional Service
Co-organizer, MICCAI Tutorial on Foundational Models for Healthcare, 2025 and 2026.
Co-organizer, MICCAI Workshop on Multimodal Learning for Clinical Decision Support, 2025.
Peer reviewer for IEEE EMBC, ICLR, MICCAI, MICCAI ML-CDS, and related workshops.