Summary
Gene Kim is a data-driven higher-education leader with over two decades of experience designing assessment, research, and programmatic solutions to expand opportunities for first-generation, low-income, and historically underrepresented students. As Director of Assessment and Research at the University of Washington, he combines hands-on data mining and automation (SQL, R, Python, Julia) with policy analysis and program management to support federal- and state-funded proposals, reporting, and decision-making. He teaches applied data science and assessment courses, mentors analysts, and deliberately treats machine learning as an approximation tool—avoiding profiling—to surface exceptions as well as patterns. Gene also advocates “maximum representation” methods that respect multiple racial/ethnic identities in administrative datasets, and he brings a rare blend of classroom instruction, fiscal automation, and long-standing diversity administration to institutional research.
11 years of coding experience
8 years of employment as a software developer
Postdoctoral Fellowship, Institutional Research and Program Management, Postdoctoral Fellowship, Institutional Research and Program Management at University of Wisconsin-Madison
Korean, English