Banerjee specializes in natural language processing (NLP), and applications of machine learning (ML). At Stony Brook University, he holds the position of a Research Assistant Professor of Computer Science, and is affiliated with the Institute for AI-Driven Discovery and Innovation. From 2021, he is a Visiting Associate of Computer Science at Colorado State University, Fort Collins. From 2017-18, he was also appointed as a Research Assistant Professor by the Department of Emergency Medicine at Stony Brook School of Medicine, for his patient-centered research on early detection of adverse drug events. He has frequently been invited to present his research at highly reputable venues across the world, including the National Institute of Technology (Jaipur, India) and the Brookhaven National Laboratory (New York, USA).

Prior to serving as a researcher and educator, Banerjee was awarded his Doctor of Philosophy (Ph.D.) in computer science by Stony Brook University in December 2015. He was associated with dMetrics Inc. (an AI and NLP company based in New York) as a research engineer in 2013 and 2015, and was hosted by the Indian Institute of Technology at Kharagpur (India) as a visiting scholar in 2012. He was the recipient of the Computer Science Chair Fellowship from Stony Brook University from 2009-10.

Banerjee received his Master of Science (M.Sc.) in Computer Science, and the Bachelor of Science (B.Sc.) in Mathematics and Computer Science, both from the Chennai Mathematical Institute, India. In his earlier years as a student, Banerjee was awarded the National Board of Higher Mathematics (India) scholarship for three straight years from 2001-04, and the National Graduate Scholarship from National Board of Higher Mathematics (India) from 2005-07.


Banerjee has authored numerous research articles published in top-tier peer-reviewed conferences and journals, including patient-centered adverse drug event detection, which received the Best Technical Paper Award at the IEEE International Conference on Healthcare Informatics (2015), 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 technical research on identifying check-worthy claims in news and social media, invited from a competition to be presented at the 10th International Conference of the CLEF Association (2019).


Banerjee is the recipient of two EAGER (Early-concept Grants for Exploratory Research) awards from the U.S. National Science Foundation (NSF) for his groundbreaking research proposals, in 2018 and 2023. He also received a targeted research award from the Stony Brook School of Medicine in 2019 for his work at the juncture of NLP and clinical practice.