Tom Schmitt
Senior Statistician & Data Scientist

Tom has nearly 20 years of experience in academic and private sector consulting and leading teams across a variety of research and statistical projects, including building analytic and data driven production software.
He has:
- Worked on and led 100s of projects as a psychometrician, statistician, data scientist and academic scientist with diverse work across academics, grants and industry. Experience include: statistical and applied psychometrics (including thought leadership in psychometrics), assessment, test/survey construction, adaptive testing, statistical simulations, and productionizing data and models into dashboards and software.
- Invited by Google to lead a team that built a data set, write-up and analysis for Google Cloud, Big Query as part of COVID-19 public datasets: Our continued commitment to open, accessible data.
- Led data and statistical analysis at BroadStreet Health building enterprise production grade software serving a variety of organizations, including Francician Health, a large multi-state healthcare system.
- Led a team that produced an interactive report for location based deprivation using the Area Deprivation Index (ADI) available at customized user inputed locations for different geographies (e.g., Census Block Group).
- Authored dozens of peer-reviewed academic publications (see Google Scholar).
- Awarded Outstanding Statistically-Based Research Article for Journal of Personality Assessment: Selecting the “Best” Factor Structure and Moving Measurement Validation Forward: An Illustration.
- Led data collection and analysis for the COVID-19 Data Project, which included teams of 100s of interns collecting and monitoring COVID-19 infection and death rates.
- Has been PStat® accredited by the American Statistical Association, which requires a rigorous combination of coursework and academic level statistical work.
- Worked as an Associate Professor at Eastern Michigan University providing statistical and methodological support for grants, research projects and academic publications.
Tom earned a PhD in Applied Statistics & Measurement from the University of Wisconsin – Milwaukee.