Michael Leon Chrzan

Data Scientist bridging K12 education practice, policy, and advanced analytics through machine learning, causal inference, and NLP to drive educational equity and evidence-based improvement at scale.

I’m a Data Scientist at the Center for Educational Data Science and Innovation (EDSI) in College Park, Maryland, and a recent graduate of Stanford University’s Education Data Science Master’s program. With over a decade of experience bridging education practice, policy, and data science, I work at the intersection of machine learning, causal inference, and educational equity.

My journey has taken me from the classrooms of Detroit, where I taught mathematics and mentored teacher interns, to Stanford’s Graduate School of Education, where I specialized in advanced quantitative methods and AI applications in education. I’m passionate about using data science to create more equitable educational systems and improve outcomes for all students.

I’m always interested in collaborating on research projects, speaking opportunities, and consulting work related to education data science, machine learning for equity, and evidence-based policy. Whether you’re a researcher, educator, policymaker, or organization looking to leverage data for educational improvement, I’d love to connect.

Get in Touch:

Email Michael Chrzan

LinkedIn Profile