Recipient of two NSF EAGER grants for innovative work in medical privacy and semantic shifts in information.
January 2025: Funded by Stony Brook’s AI Innovation Institute for 'A Pragmatic Approach to AI for Digital Media Integrity'.
January 2024: Pilot Grant from Stony Brook School of Medicine for NLP-based prediction of acute kidney injury in critically ill patients.
September 2023: NSF SaTC grant to investigate live medical data against privacy laws.
October 2022 & March 2022: Featured by the Institute for AI-Driven Discovery and Innovation for research on COVID-19 misinformation and medical misinformation.
September 2022: Research showcase on misleading citations in social media.
Invited talks at Brookhaven National Laboratory, NIT Jaipur, Colorado State University, and others.
August 2019: Pilot Grant Award from Stony Brook School of Medicine.
Background
Computer science researcher and educator specializing in computational linguistics and its applications to privacy, law, discourse, argumentation, semantics, and pragmatics.
Focuses on natural language processing (NLP) and AI-driven healthcare, aiming to personalize patient care through AI.
Explores how machine learning and computational linguistics can analyze clinical data, tailor treatments, predict diseases like chronic kidney disease, and reduce adverse drug events.
Also contributes to misinformation detection, forensic linguistics, and computational argumentation.
Research Assistant Professor of Computer Science at Stony Brook University (SUNY) since 2016, affiliated with the AI Innovation Institute.
Leads the Social & Computational Intelligence Research (SCIRE) group and mentors undergraduate, M.S., and Ph.D. students.