Lovenoor Aulck

Guest Faculty Member

laulck@uw.edu

Website ◆ CV

Specializations

Data Science
Machine Learning
Coding and Development

Courses

INFO 371 - Advanced Methods In Data Science

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

Conference Paper

Increasing enrollment by optimizing scholarship allocations using machine learning and genetic algorithms (2020)
International Conference on Educational Data Mining (EDM), pp. 29-38 Authors: Lovenoor Aulck, D. Nambi, Jevin West
Conference Paper

Mining University Registrar Records to Predict First-Year Undergraduate Attrition (2019)
Proceedings of the 12th International Educational Data Mining Conference (EDM '19) Authors: Lovenoor Aulck, Jevin West, Joshua Blumenstock, Dev Nambi, Nishant Velagapudi
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 Authors: Dana M. Litt, Melissa A. Lewis, Emma Spiro, Lovenoor Aulck, Katja A. Waldron, Alex Swanson, Maya K. Head-Corliss
Conference Paper

Is together better? Examining scientific collaborations across multiple authors, institutions, and departments (2018)
KDD 2018 BigScholar 2018: The 5th Workshop on Big Scholarly Data Authors: Lovenoor Aulck, Kishore Vasan, Jevin West
Conference Workshop Paper

Predicting Student Dropout in Higher Education (2016)
International Conference on Machine Learning (ICML), Data4good: Machine Learning in Social Good Applications Authors: Lovenoor Aulck, Nishant Velagapudi, Joshua E Blumenstock, Jevin West