Alok Debnath is a PhD researcher at Trinity College Dublin with nine years of experience in computational linguistics, NLP, HCI, and affective computing, specializing in evaluation of human factors such as empathy in LLM-based conversational agents. His work blends rigorous academic methods with practical ML engineering—previous roles include stance detection and veracity scoring at Factmata and building hybrid multilingual ASR and intent systems for Indian languages at Navana Tech. He has published award-winning research on linguistic ambiguity (Best Student Paper, EACL 2021) and is developing a framework to quantify empathetic behaviors in domain-specific and general dialogue. Based in Dublin, he pairs deep technical expertise with a knack for human-centered design, and—on a lighter note—brings a D&D nerd’s curiosity to exploring conversational narratives.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Trinity College Dublin
MS by Research, Computational Linguistics, MS by Research, Computational Linguistics at International Institute of Information Technology Hyderabad (IIITH)
In this project, we scrape instagram captions and comments and annotate them for sexism. We use the annotated data in order to create a system which detects whether a sentence is sexist or about sexism or not.
Contributions:2 PRs, 27 pushes, 2 branches in 3 months
sentencepythonscrapeannotatepython-3
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Alok Debnath - PHD Researcher at Trinity College Dublin