I'm a data scientist in the University of Washington's (UW's) Office of the Provost, where I work with UW's Finance 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 under the mentorship of Jevin West, Josh Blumenstock, and Emma Spiro of the DataLab with my dissertation focusing on how post-secondary institutions can better leverage their data. Before joining UW's Information School, I conducted research in the areas of spine biomechanics and occupational health. Previously, I was a research engineer at UW's Department of Environmental and Occupational Health Sciences (2014) and a Whitaker International Research Fellow at Vrije Universiteit in Amsterdam, the Netherlands (2013).


  • Educational Data Mining
  • Machine Learning for Education
  • Data-informed Policymaking
  • Computational Social Science


  • PhD in Information Science, 2019

    University of Washington

  • MS in Bioengineering, 2012

    University of Washington

  • BS in Bioengineering, 2011

    University of Washington

  • BA in Comparative Religion, 2011

    University of Washington


  • laulck@uw.edu
  • Box 359445, University of Washington, Seattle, WA 98195