Research Assistant Professor
Department of Computer Science
Stony Brook University
206 New Computer Science
Dr. Ritwik Banerjee specializes in natural language processing (NLP), and applications of machine learning (ML). Currently, he is a Research Assistant Professor of Computer Science at Stony Brook University, and is affiliated with the Institute for AI-Driven Discovery and Innovation. For his work in biomedical language processing, he also served the Department of Emergency Medicine (Stony Brook School of Medicine) as a research faculty.
Dr. Banerjee was awarded his Doctor of Philosophy (PhD) in computer science from Stony Brook University in December 2015, advised by Yejin Choi and co-advised by I. V. Ramakrishnan. As part of his doctoral research, he was associated with dMetrics Inc. – an AI and NLP company based in New York – as a Research Engineer. Additionally, he has also been a visiting scholar at the Indian Institute of Technology, Kharagpur. Prior to his doctorate, he was a core member of the research team in two AI-based SaaS startups in India. He earned his Master of Science (M.Sc.) degree in Computer Science, and the Bachelor of Science (B.Sc.) degree in Mathematics and Computer Science, both from the Chennai Mathematical Institute, India.
Details of his current and past work can be found in the research and publication pages.
[2018 – 2022]
EAGER: SaTC: Tracking Semantic Change in Medical Information [Division of Social and Economic Sciences (SES) at the National Science Foundation (NSF)]
[2019 – 2021]
Natural Language Processing to Improve Follow-up Compliance of Incidental Radiological Findings [Stony Brook School of Medicine, Targeted Research Opportunity (TRO) Award]
[2009 – 2010]
Computer Science Chair Fellowship, Stony Brook University
[2005 – 2007]
National Graduate Scholarship, National Board of Higher Mathematics (India)
[2001 – 2004]
National Board of Higher Mathematics Scholarship (India)
Dec 8, 2022 – Natural Language Representation: What’s next for embeddings? Invited speaker at the IEEE CIS Summer School: Research Trends in Artificial Intelligence and Machine Learning for Engineering Challenges (Malaviya National Institute of Technology, Jaipur, India)
Nov 1, 2022 – Deception in Medical Information across Natural Language Genres: invited talk at the Brookhaven National Laboratory AI/ML Working Group seminar.
Sep 9, 2022 – New article published in the ACM Journal of Data & Information Quality selected for the ACM Showcase.
Mar 12, 2022 – Research on medical misinformation in our everyday lives featured by the Institute for AI-Driven Discovery and Innovation.
Dec 15, 2021 – Panel talk at the 7th IEEE International Conference on Collaboration and Internet Computing (CIC): Pandemic 2023 – An Information Technology Retrospective.
Nov 29, 2021 – Colloquium speaker at the Department of Computer Science, Colorado State University: Deception and misinformation across natural language genres.
Aug 07, 2019 – Collaboration (with Radiology) to improve follow-up of incidental findings in reports, receives the Stony Brook School of Medicine TRO Program Award.
Jun 18, 2019 – Research by Dr. Banerjee and his students on the identification of check-worthy facts gets nominated as a "Best of the Labs" paper, and invited to CLEF 2019.
May 22, 2018 – The U.S. National Science Foundation (NSF) funds Dr. Banerjee's project on tracking semantic change in medical information.
May 15, 2018 – As part of the CLEF 2018 Fact Checking Lab, the team Prise de Fer led by Dr. Banerjee achieves the best results in identifying check-worthy claims.
Feb 26, 2018 – Colloquium speaker at the Digital Humanities Series, Stony Brook University Libraries: Social Identities in Text.
Nov 8, 2015 - Improved Patient Care System receives Best Paper Award at IEEE International Conference on Healthcare Informatics.