John Glenn College of Public Affairs
Ohio Education Research Center

The Ohio Education Research Center is pleased to welcome our new Quantitative Research Analyst, Sean Franco

The Ohio Education Research Center is pleased to welcome our new Quantitative Research Analyst, Sean Franco

Sean Franco joins the OERC as a Quantitative Research Analyst, bringing a strong background in quantitative policy analysis. We interviewed Mr. Franco to learn more about his academic journey and the aspirations he brings to his role at the OERC.

QuestionCan you tell us about your professional and education background?

Answer

I hold a master's degree in applied economics from George Washington University and a dual bachelor’s in geology and music from William & Mary. I have experience in applying data science, econometrics, and machine learning to evaluate programs and policies in health and infrastructure innovation.

QuestionWhat excited you most about the Ohio Education Research Center?

Answer

I’m excited to analyze data that traces important life and career milestones. I like to work and collaborate with a multidisciplinary team of faculty and staff, and I value the center’s commitment to evidence-based research that serves the public good.

QuestionWhat inspired you to pursue a career in research?

Answer

Curiosity has always been a driving force in my career. It's fun to learn and to dive deep into new subjects and to contribute to research that’s rooted in community values and public service. The work at OERC and CHRR resonates with my belief that data-driven insights can improve lives and strengthen communities.

QuestionWhat are some things on your Columbus bucket list?

Answer

My family and I really enjoyed the downtown art gallery. Next on my family’s list is to visit COSI, the zoo, and the aquarium.

QuestionWhat’s a fun fact about you that most people don’t know?

Answer

I play old-time fiddle music, which is a community-oriented music tradition where people gather at festivals, jams, and dances to share tunes and connect. I also enjoy personal data science projects, such as analyzing sequences of random numbers from David Lynch’s meditation series or mapping the geographic patterns of old-time music.