People: Research Faculty
Faculty Associate, Center for Political Studies
Assistant Professor of Information, School of Information
Ph.D. 2018 University of California, Santa Cruz (Technology Management)
Sabina Tomkins joins UMSI as assistant professor fall 2021. A computational scientist who develops machine learning to advance public policy, she comes most recently from the Stanford Computational Policy Lab (SCPL). She received her PhD in technology management from the University of California, Santa Cruz and her bachelor’s in computer science from New York University. She has held teaching assistant and postdoctoral researcher positions at Harvard University focused on sequential decision making in mobile health. Sabina Tomkins is teaching SI 330: Data Manipulation in the fall semester.
Please also see Sabina Tomkins’s Curriculum Vitae (CV).
Tomkins, S., Ramesh, A. and L. Getoor, Predicting Post-Test Performance from Online Student Behavior: A High School MOOC Case Study. (2016) International Educational Data Mining Society.
M Schweinsberg, M Feldman, N Staub, et al., Same data, different conclusions: Radical dispersion in empirical results when independent analysts operationalize and test the same hypothesis (2021)OrganizationalBehavior and Human Decision Processes 165, 228-249.
Tomkins, S., Isley, S., London, B. and L. Getoor, Sustainability at scale: towards bridging the intention-behavior gap with sustainable recommendations (2018), Proceedings of the 12th ACM conference on recommender systems, 214-218
Tomkins, S., Getoor, L., Chen, Y. and Y. Zhang, A socio-linguistic model for cyberbullying detection (2018) 2018 IEEE/ACM International Conference on Advances in Social Networks
Akkiraju, RKT, Bhuiyan, M., Gundecha, P.S. et al., Recommending a dialog act using model-based textual analysis (2019) US Patent 10,360,908
Tomkins, S., Liao, P., Klasnja, P. and S. Murphy, Intelligentpooling: Practical thompson sampling for mhealth (2021) Machine learning 110 (9), 2685-2727