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Management Science & Engineering

Kristen M. Altenburger

I am currently a fourth-year PhD candidate in Computational Social Science in the Management Science & Engineering Department at Stanford University advised by Johan Ugander. My research focuses on developing statistical methods for characterizing social structures in networks, with applications to data privacy, and focuses on promoting equitable digital systems that feature complex cultural and political considerations. 

I received my BS in Mathematics from Ohio University in 2012 where I was also a Barry M. Goldwater Scholar, completed a research fellowship at Stanford Law School with Alison Morantz and Daniel E. Ho in 2012-2014, and received my AM in Statistics from Harvard University in 2015. I was previously a Member of Technical Staff in the Data Science and Cyber Analytics Department at Sandia National Laboratories and am a 2016 SPOT Awardrecipient based on my research. During the summer 2017, I joined the Social Science & Algorithms team at Netflix for an internship analyzing word-of-mouth effects and other social signals. During the summer 2018, I did graduate research at Stanford University. I am a 2018 Stanford Data Science Scholar, am a member of the Society & Algorithms Lab, and am supported in part by a National Defense Science and Engineering Graduate Fellowship.