PhD Student Management Science and Engineering Stanford University
kaltenb [at] stanford.edu
I will be a second year PhD Student in the Management Science & Engineering (MS&E) Department at Stanford University beginning in the 2016-2017 academic year and am a member of MS&E’s Social Algorithms Lab (SOAL). My research interests include social network analysis, machine learning, and causal inference.
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 in 2012-2014, and received my AM in Statistics from Harvard University in 2015. I am also a 2016 recipient of the National Defense Science & Engineering Graduate Fellowship.
Ruffled Feathers: When Can Gender be Inferred on Social Networks? - Joint work with Johan Ugander
Talks: IPAM Culture Analytics Workshop on Cultural Patterns (Ugander: May 2016), International Conference on Computational Social Science (Altenburger: June 2016), SIAM Workshop on Network Science (Altenburger: July 2016), and Dean’s Seminar at Sandia National Labs (Altenburger: August 2016)
Re(ef)source - Crowdsourced Coral Reef Imaging - Recipient of a Magic Grant - Brown Institute for Media Innovation (2016-2017). Joint collaboration between Stanford and Columbia University graduate students.
Explore the potential for combining new imaging modalities with crowdsourcing data collection efforts of coral reefs in order to provide a model for participatory storytelling and citizen journalism in environmental reporting.
Linking Women to Opportunity: Evaluating Gender Differences in Self-Promotion - Joint project with LinkedIn.
Examine differences in whether/how men and women self-promote online, and whether the effects of self-promotion on career opportunity vary by gender. On a broader level, we hope that our research not only empowers women to maximize career success, but also informs recruiters who are seeking gender equality within their organizations. Winner of LinkedIn's Economic Graph Challenge, May 2015. [link]
Research in the Data Science and Cyber Analytics Department at Sandia National Laboratories. Summers 2015 and 2016.
Kyler Siegel, Kristen Altenburger, Yu-Sing Hon, Jessey Lin & Chenglong Yu (2015). PuzzleCluster: A Novel Unsupervised Clustering Algorithm for Binning DNA Fragments in Metagenomics. Current Bioinformatics, 10, 231-252. [link]
workshops + conferences
Uncertainty in Computation at Simons Institute for the Theory of Computing, UC Berkeley. Workshop Participant. upcoming: October 4-7, 2016. [link]
SIAM Workshop on Network Science in Boston. Talk on Ruffled Feathers. July 15, 2016. [link]
International Conference on Computational Social Science at Kellogg School of Management, Northwestern. Talk in the Social Networks Session on Ruffled Feathers. June 24, 2016. [link]
West Coast Experiments Conference at Stanford GSB. Attended. May 21, 2016. [link]
Personal and Partisan Incumbency Effects in the Electoral Regression Discontinuity Design: A Principal- Stratification Approach. Presented poster at the Women in Machine Learning Workshop. Joint work with Andrew Hall. December 7, 2015. [link]
Second Annual Media Innovation Base Camp at the Brown Institute, Columbia University. Exploring the intersection of storytellling + technology. November 6-8, 2015. [link]
Women in Data Science Conference at Stanford University. Attended. November 2, 2015. [link]
Applications of Machine Learning to Economics and the Social Sciences by Sendhil Mullainathan. Mini-course at UC Berkeley's Institute for Research on Labor and Employment. August 27-29, 2015.