Assistant Professor Of Teaching at University at Buffalo
Buffalo, New York, United States
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Summary
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Adithya Narayanan is an Assistant Professor of Teaching and data scientist with nine years of experience bridging applied research, pedagogy, and product-focused analytics. At the University at Buffalo he mentors graduate students while advancing research in epidemic and intervention modeling on static and time-evolving networks, building on prior work in hyperpartisanship detection, disaster risk prediction, and blockchain for humanitarian operations. He has shipped full-stack analytics products—a news-aggregator that contextualizes article polarity and reply sentiment and deployed Dash apps on Heroku/AWS—and achieved high classification accuracy using both classical and zero-shot transformer approaches. His background spans CS and operations research (BS, MS, ongoing PhD work), and he pairs rigorous quantitative modeling with a knack for storytelling, evidenced by previous sports-writing and content ventures. Colleagues will note his uncommon mix of academic publication, hands-on deployment experience, and creative curiosity (recently manifested in a deep dive into Taxi Driver: Korea).
9 years of coding experience
4 years of employment as a software developer
Computational and Data-Enabled Sciences PhD, Computational and Data-Enabled Sciences PhD at University at Buffalo
Bachelors Computer Science, Bachelors Computer Science at University at Buffalo School of Engineering and Applied Sciences
Contributions:1 release, 5 PRs, 18 pushes in 4 years 2 months
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Adithya Narayanan - Assistant Professor Of Teaching at University at Buffalo