Tuhin Chakrabarty
New York, New York, United States
Summary
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SeniorTuhin Chakrabarty is an Assistant Professor at Stony Brook University whose work sits at the intersection of NLP, AI safety, and labor economics, tackling questions that span multiple disciplines. He investigates fair and responsible data use and deployment, and empirically measures how automation impacts skilled labor markets over time. With current roles as a Research Scientist at Salesforce and prior research internships at Google DeepMind and Salesforce, he bridges academic inquiry with industry-driven evaluation of large language models and creativity. His foundational training includes NLP and ML research at Columbia University, and he contributed to the AI2 MOSAIC project on Machine CommonSense, refining approaches to AI-assisted creativity. Based in New York, he brings about a decade of cross-sector experience, possessing hands-on experience building analytics platforms, data pipelines, and scalable ML systems. He is known for turning complex, multi-disciplinary problems into practical, auditable research and deploying insights that address longitudinal harms of AI deployments.
10 years of coding experience
Github Skills (95)
transformers10
language-model10
python10
flax10
deep-learning10
computational-linguistics10
phonetics10
compression10
sequence-to-sequence10
acl10
ctc10
transformer10
nlp10
jax10
artificial-intelligence10
Programming languages (7)
Github contributions (5)
tuhinjubcse/SimileGeneration-EMNLP2020
Sep 2020 - Apr 2021
Contributions:19 commits, 18 pushes, 1 branch in 7 months
tuhinjubcse/ALW3-ACL2019
May 2019 - May 2020
Contributions:15 commits, 14 pushes, 1 branch in 11 months
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