Ross Larsen joined Recon Analytics in 2026 as Principal Measurement Scientist. Ross is responsible for the statistical rigor behind Recon’s survey data, ensuring that the insights drawn from over 1.1 million annual surveys are accurate, defensible, and free from bias. His work spans data quality validation, advanced bot and fraud detection, and building the measurement frameworks that underpin Recon’s Pulse research platforms.
Ross leads Recon’s synthetic data equivalence program, developing methods to validate that synthetic datasets preserve the statistical properties of real respondent data. He also designs screening systems that identify fraudulent or low-quality survey responses, supporting Recon’s industry-leading rejection rates and commitment to first-party data fidelity.
Before Recon, Ross served as Graduate Faculty at Arkansas State University, teaching doctoral-level courses in advanced quantitative methods and research design. Prior to that, he spent nine years at Brigham Young University conducting research on measurement reliability, missing data methods, and statistical modeling in educational and behavioral science contexts.
Ross earned his Ph.D. in Educational Psychology with a specialization in Research and Measurement from Texas A&M University, an M.S. in Statistics from Brigham Young University, and a B.S. in Biostatistics from Brigham Young University.