Specializations
- Data Science
- Machine Learning
- Coding and Development
Biography
I'm a data scientist in the University of Washington's (UW's) Office of the Provost, where I work with UW's Office of Planning and Budgeting and UW's Academic and Student Affairs on various data-centric projects. I also lecture for UW's Information School, teaching classes on data science and machine learning at the graduate and undergraduate levels. Broadly, my research interests are in using large-scale, high-dimensional data to improve educational policy and systems. I completed my PhD from UW's Information School with my dissertation focusing on how post-secondary institutions can better leverage their data.
Education
- Ph D, Information Science, University of Washington, 2019
- MS, Bioengineering, University of Washington, 2012
- BS, Bioengineering, University of Washington, 2011
- BA, International Studies: Comparative Religion, University of Washington, 2011
Publications and Contributions
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Conference PaperIncreasing enrollment by optimizing scholarship allocations using machine learning and genetic algorithms (2020)International Conference on Educational Data Mining (EDM), pp. 29-38
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Conference PaperMining University Registrar Records to Predict First-Year Undergraduate Attrition (2019)Proceedings of the 12th International Educational Data Mining Conference (EDM '19)
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Journal Article, Academic Journal#drunktwitter: Examining the relations between alcohol-related Twitter content and alcohol willingness and use among underage young adults (2018)Drug and Alcohol Dependence, 193(Unknown Issue), pp. 75-82, ISBN/ISSN: 03768716
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Conference PaperIs together better? Examining scientific collaborations across multiple authors, institutions, and departments (2018)KDD 2018 BigScholar 2018: The 5th Workshop on Big Scholarly Data
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Conference Workshop PaperPredicting Student Dropout in Higher Education (2016)International Conference on Machine Learning (ICML), Data4good: Machine Learning in Social Good Applications