Data Scientist, eScience Institute
University of Washington
CSDE Committees: Training Committee Member
Jose is a Data Scientist at the University of Washington’s eScience Institute. Jose’s interests include the application of data science methods on sociological and educational data and building data tools to facilitate that process. Jose’s research combines theory and practice with data science methods to inform education policymaking. Previously he was a data scientist with the Center for Education Results, a local non-profit, where he leveraged statistical and machine learning methods to explore education data and where he now serves as Data Science Senior Fellow. Jose earned his doctorate at the UW, with a focus in statistics and measurement and a Master of Education in policy, also from UW. His doctoral research focused on assessing causal inference methodology in the absence of randomization on complex data structures.