PhD Candidate at MIT IDSS
in Social & Engineering Systems
Email: eaman [at] mit [dot] edu
I am a PhD candidate in Social and Engineering Systems program at MIT IDSS, under supervision of Prof. Pentland and Prof. Eckles. I am also receiving a second PhD in Statistics from the Statistics and Data Science Center at MIT. I received my Bachelor’s and Master’s degrees in Computer Science both from the University of Michigan - Ann Arbor.
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.
|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|