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 A list of publications can be found in my reasonably out-of-date CV.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.