Adithya Narayanan
Made with

Adithya Narayanan

Teaching
ALT
Assistant Professor of Teaching
Institute for Artificial Intelligence and Data Science
University at Buffalo
adithyan at buffalo dot edu
PhD, Computational and Data-Enabled Sciences, University at Buffalo, 2024
MS, Industrial Engineering, University at Buffalo, 2021
BS, Computer Science, University at Buffalo, 2018

Who are you?

I teach graduate students @ UB. Each day, I dive a little deeper into understanding humans, sometimes society, sometimes with data, and sometimes without.
When I am not doing any of the above, I try to read a new piece of fiction, and have recently watched a lot of Taxi Driver - the Korean Television Series (recommendations always welcome).

What else?

In the past few years, I have built epidemic and intervention strategy models on static and evolving networks (a lot of cool things on this coming soon). A little before that, I surveyed the applications of blockchain in humanitarian operations, built a news aggregator application that delivers some added context about news articles - such as the polarity of the discussion they evoke, helped a mine user insights with an ed-tech firm, and studied polarity and hyperpartisanship in news articles.
Some of this work is published, with many more cool things on the way. A list of publications can be found in my reasonably out-of-date CV.
In a past life (out of several), as a sports-ish writer, I have created content for LaLiga (the soccer league in which Lionel Messi used to play), NBA Basketball School, and Roland-Garros (the grand slam that Rafa Nadal has won over a dozen times).

Do you work with students?

Absolutely! I have two ways I can work with students.
I am curating a list of student projects around Network Theory, and Social Sciences - with work commencing in Spring 2025.
If you’re a graduate student with at least two semesters remaining in your program and would like to explore opportunities to work with me, please fill out this form.
I am also working on a Data Journalism initiative. This would shape up to be a student-run publication which delves into data-driven story telling. Each author will be able to contribute to, or author, multiple data projects throughout the duration of their time @ UB.
Interested? Please fill this form.
If you’re new to Data Journalism and would like to chat with me about it, email me.