A short biography
Banerjee’s academic journey began with a strong foundation in mathematics and computer science. He holds a Ph.D. in Computer Science from Stony Brook University (2015), where his research focused on computational linguistics and machine learning applications. He earned his M.Sc. and B.Sc. degrees in Mathematics and Computer Science from the Chennai Mathematical Institute (India), with multiple scholarships from the National Board of Higher Mathematics (India). His early career involved research roles at dMetrics Inc., an AI and NLP company based in New York, and a visiting scholarship at the Indian Institute of Technology, Kharagpur.
Banerjee held an appointment as Research Assistant Professor at the Department of Emergency Medicine at Stony Brook School of Medicine from 2017-18, where his work on adverse drug event detection made a significant impact on patient safety. Since 2021, he has also served as a Visiting Associate at Colorado State University, Fort Collins, expanding his collaborative research in machine learning.
Banerjee has been invited to present his research at prestigious venues worldwide, including Brookhaven National Laboratory (New York, USA) and the National Institute of Technology (Jaipur, India). His contributions to the field have earned him numerous accolades, including two EAGER grants from the National Science Foundation (USA).
Writings
Banerjee has authored numerous research articles published in top-tier peer-reviewed conferences and journals, including Patient-Centered Adverse Drug Event Detection (2015), the Best Technical Paper at the IEEE International Conference on Healthcare Informatics, and the widely-cited influential work on deception in written language, Syntactic Stylometry for Deception Detection (2012).
Other writings include his vision on the future of AI and misinformation, invited to be presented at the IEEE 3rd International Conference on Cognitive Machine Intelligence (2021), and his research on identifying check-worthy claims in news and social media, designated as Best of the Labs and invited to be presented at the 10th International Conference of the CLEF Association (2019).
Awards
Research Award. A Pragmatic Approach to AI for Digital Media Integrity: Combating Complex Misinformation Through Fallacies and Propaganda. AI Innovation Institute at Stony Brook University, 2025.
Clinical Research Award. Natural Language Processing to Predict Acute Kidney Injury in Critically Ill Patients. Stony Brook University, Department of Medicine Pilot Project Grant, 2024 – 25.
Research Award. A Framework for Investigating Live Medical Data against Privacy Laws, U.S. National Science Foundation (NSF), 2023 – 25.
Research Award. Tracking Semantic Change in Medical Information, U.S. National Science Foundation (NSF), 2018 – 22.
Clinical Research Award. Natural Language Processing to Improve Follow-up Compliance of Incidental Radiological Findings. Stony Brook School of Medicine, Targeted Research Opportunity (TRO) Award, 2019 – 21.
Computer Science Chair Fellowship, Stony Brook University, 2009 – 10.
National Graduate Scholarship, National Board of Higher Mathematics (India), 2005 – 07.
National Board of Higher Mathematics Scholarship . National Board of Higher Mathematics (India), 2001 – 04.