PhD Student Management Science and Engineering Stanford University
kaltenb [at] stanford.edu
I am a second year PhD Student in the Management Science & Engineering (MS&E) Department at Stanford University 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. I spent Summers 2015 and 2016 in the Data Science and Cyber Analytics Department at Sandia National Laboratories and am a 2016 Spot Award recipient based on my summer research.
Community Detection in Networks. Joint work.
Ruffled Feathers: When Can Gender be Inferred on Social Networks? Joint work with Johan Ugander.
Re(ef)source - Crowdsourced Coral Reef Imaging - Recipient of a Magic Grant from the Brown Institute for Media Innovation (2016-2017). Joint collaboration between Stanford and Columbia University graduate students.
Kristen M. Altenburger, Rajlakshmi De, Kaylyn Frazier, Nikolai Avteniev, & Jim Hamilton (2017, forthcoming). Are there Gender Differences in Professional Self-Promotion? An Empirical Case Study of LinkedIn Profiles among Recent MBA Graduates. ICWSM Poster Paper (Montreal, Canada). [link]
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]
I am serving on the program committee for ACL 2017 [link], and have served as a reviewer for Big Data & Society [link] and IC2S2 2017 [link].
workshops + conferences + talks
Joint Statistical Meetings in Baltimore, Maryland. Accepted joint submission. upcoming: July 2017. [link]
SIAM Workshop on Network Science in Pittsburgh, Pennsylvania. Accepted joint submission. upcoming: July 2017. [link]
The 11th International AAAI Conference on Web and Social Media (ICWSM-17) in Montreal, Canada. upcoming: May 15-18, 2017. [link] Perceptual Bias & Social Media Workshop at ICWSM. Accepted submission. upcoming: May 15, 2017. [link]
''The Role of Social in Social Theory, Social Media, and Social Engineering'': Class Lecture for MS&E190 at Stanford University. upcoming: May 4, 2017.
Computational Challenges in Machine Learning at the Simons Institute at UC Berkeley. Participant. upcoming: May 1-5, 2017. [link]
Doctoral Consortium on Natural Language Processing and Computational Social Science in Austin, TX. Accepted submission with travel support. November 5, 2016. [link]
Dean’s Seminar Talk at Sandia National Labs in Livermore, CA. August 9, 2016.
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.