I’m giving an expository talk on the elements of causal inference with some connections to big data; find the slides here.
I am an applied mathematician working on methodological problems that arise in the scientific study of complex social systems. My professional philosophy is math for humans.
I am a member of MIT’s Operations Research Center, the Human Mobility and Networks Lab, and the Laboratory for Information and Decision Systems. I am supported by the NSF Graduate Research Fellowship, and my work has appeared in the Proceedings of the National Academy of Sciences.
You can read my full CV here.
PhD in Operations Research, 2020
Massachusetts Institute of Technology
BA with High Honors in Mathematics and Philosophy, 2012
Swarthmore College
A coevolutionary model of community structure in social networks. With Peter J. Mucha.
A simple model of urban growth on distinct agglomeration scales. With Ema Strano, Adrian Albert, and Marta C. Gonzalez.
Analyzing multiscalar spatial structure using information theory and machine learning.
Code for analyzing segregation with information theory and machine learning.
You can also read nice things my students have said about me, or view my complete teaching history.
Thu, Jul 12, 2018, SIAM Workshop on Network Science
Fri, Mar 9, 2018, Conference on Complex Networks (CompleNet) 2018
Wed, Nov 8, 2017, Human Mobility and Networks Laboratory Group Meeting
Wed, Aug 9, 2017, Growth Lab Seminar
Tue, Jun 20, 2017, Conference on Network Science
I’m giving an expository talk on the elements of causal inference with some connections to big data; find the slides here.
While working on a variational Bayes problem, I noticed that divergences of independent distributions add.