PhD Candidate at MIT IDSS
in Social & Engineering Systems
Email: eaman [at] mit [dot] edu
I will be a postdoctoral associate at UC Berkeley department of Statistics starting January 2022. I received a dual PhD in Social and Engineering Systems and Statistics from IDSS and the Statistics and Data Science Center at MIT, under the supervision of Prof. Pentland and Prof. Eckles.
My PhD research is focused on micro-level structural factors, such as network structure, that contribute to unequal distribution of resources or information. As a computational social scientist, I use methods from network science, statistics, experiment design and causal inference. I am also interested in understanding the collective behavior in institutional settings, the institutional mechanisms that promote cooperative behavior in networks, or in contrast lead to unequal outcomes for different groups.
In a previous life, I worked at Google New York City as a software engineer from 2011 to 2015. At Google, I worked on several products around the AdWords ad auction. We analyzed the ad auction dynamics and developed relevant suggestions for advertisers. I received my Bachelor’s and Master’s degrees in Computer Science both from the University of Michigan - Ann Arbor.
|Sep 1, 2021||I will be joining Berkeley department of Statistics as a post-doctoral associate starting January 2022.|
|Aug 17, 2021||I defended my thesis titled: “Network Effects on Outcomes and Unequal Distribution of Resources”.|
|Jan 11, 2021||I got accepted into the university of Chicago Rising Stars in Data Science workshop and presented my thesis research.|
|Aug 23, 2020||Submitted my thesis proposal!|
|Jan 10, 2020||Starting a collaboration with Facebook CDS to study network effects on outcomes|