Phil Chodrow seated on a bench, smiling leaning towards the viewer.

Welcome!

I’m Dr. Phil Chodrow, an assistant professor in the Department of Computer Science at Middlebury College. My pronouns are he/him/his.

You can email me at pchodrow@middlebury.edu or stop by my office, Room 218 in 75 Shannon St. 

Research

My research focuses on network science, the study of connected systems in society and nature. I draw on methods from applied mathematics, machine learning, statistics, and physics. I also work on data science projects to promote equity and sustainability. I have awesome collaborators.

Teaching

In Fall 2022, I am teaching CSCI 0145: Introduction to Computing.

I am on a mission. I teach other courses. Students might want to take a look at my FAQs.

News

January
2023
I attend the Joint Mathematics Meetings in Boston, MA. There I speak on "Developments, Challenges, and Opportunities in Hypergraph Network Data Science."
October
2022
I give an invited online seminar on hypergraph community detection at the University of Oxford. Slides.
September
2022
I attend the SIAM Conference on Mathematics of Data Science in San Diego, CA. There, Heather Zinn Brooks (Harvey Mudd) and I co-lead a Guided Affinity Group on network science as part of the Sustainable Horizon Institute's Broader Engagement Program. I also speak on nonbacktracking spectral hypergraph clustering (slides) and organize a session with Jamie Haddock (Harvey Mudd) on "Tensor Methods for Network Data Science."
New preprint! "Emergence of polarization in a sigmoidal bounded-confidence model of opinion dynamics" is joint work with Heather Zinn Brooks (Harvey Mudd) and Mason Porter (UCLA). In this manuscript, we study the mathematical structure of a differentiable model of opinion dynamics on graphs with zealots. Read the preprint here!
I am a guest editor in a focus issue of the Journal of Physics: Complexity on "Learning and Reasoning in Generalized Graphs." The deadline for submissions is September 30th, 2022!
I speak on nonbacktracking spectral hypergraph clustering at the virtual SIAM Workshop on Network Science, September 13th-15th.
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