Sagnik Ray Choudhury

Sagnik Ray Choudhury

Applied NLP/ML researcher. Asst prof @UNT, Clinical IE @UMich, Explainability @UPCH, Dialog systems @Interactions, Scholarly IE @Penn State.

about me

I am an assistant professor at the Department of Computer Science and Engineering, University of North Texas. I am interested in thhe explainability of LLMs used in natural language understanding tasks such as machine reading comprehension and information extraction, particularly when used in the clinical domain.
Previously, I was an NLP Scientist at the National Board of Medical Examiners. Before that, I worked at the University of Michigan Medical School on information extraction models on clinical text and their generalization abilities + models for early dementia prediction. I came to Michigan from the Department of Computer Science, UCPH, CopeNLU group, where I worked on the explainability of DNN models used in multi-hop reasoning systems, such as question answering, fact-checking and natural language inference.

During my Ph.D. from Penn State I worked in the CiteSeerX group on information extraction from scholarly figures and tables, information retrieval and crawling. Post Ph.D, I worked as an NLP/ML engineer at Interactions. I developed DNN models for large scale entity extraction and linking, dialog systems, and sentiment classification. I also contributed to a DNN library that was used as the ML backend for the company.

The best way to reach me is by 𝕏 @sagnikrayc.

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