Alok Debnath

PHD Researcher at Trinity College Dublin

Dublin, Ireland
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Summary

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Senior
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Top School
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.
code9 years of coding experience
job1 year of employment as a software developer
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Trinity College Dublin
bookMS by Research, Computational Linguistics, MS by Research, Computational Linguistics at International Institute of Information Technology Hyderabad (IIITH)
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Github Skills (25)

python10
nltk10
machine-learning10
natural-language-processing10
nlp10
in-progress8
datasets6
redux6
react5
language-processing5
scrape5
sentence5
javascript5
emr5
machine-translation5

Programming languages (5)

TypeScriptCHTMLJupyter NotebookPython

Github contributions (5)

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Contributions:47 commits, 3 PRs, 62 pushes in 2 years 3 months
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