azjacobs at
CV | Google Scholar


Postdoctoral fellow
Haas School of Business
University of California, Berkeley  

I’m on the market!
Statements: Research, Teaching, Diversity
[ download all ]

I am a computational social scientist in the Management of Organizations group at the Haas School of Business at UC Berkeley. 

My current research interests are around structure, governance, and inequality in sociotechnical systems; measurement and social networks; and the social structure of the opioid epidemic. Find my academic work below, on my CV, or on Google Scholar.

I am currently a postdoc with Toby Stuart and Mathijs de Vaan at the Haas School of Business at UC Berkeley, where I am also a member of the Algorithmic Fairness and Opacity Working Group. I hold a PhD in Computer Science, which focused on computational tools for understanding social networks, advised by Aaron Clauset at the University of Colorado Boulder. During my PhD I was fortunate to spend time at Microsoft Research NYC, mentored by Duncan Watts (intern 2015, 2016 & consulting researcher, 2015-2017), and to have funding from an NSF Graduate Research Fellowship. In 2015, I served as an organizer for the Women in Machine Learning Workshop, a technical workshop co-located with NIPS, and as of 2018 I am on the Board of Directors for Women in Machine Learning. I previously received a BA in Mathematical Methods in the Social Sciences and Mathematics from Northwestern University. 

Abigail Z. Jacobs
azjacobs + berkeley + edu