Summary
Jared Fisher is an Assistant Professor of Statistics at BYU with 13 years of applied and academic experience in Bayesian methods for causal inference, econometrics, time series, and forecasting. He transitioned from a postdoctoral and lecturing role at UC Berkeley to a faculty position, bringing a strong track record of teaching and collaborative research. His work spans practical applications in finance, healthcare, economics, and sports, blending rigorous methodology with domain-focused impact. Jared’s dual MS degrees and PhD reflect deep training in statistics and risk/operations, and he often emphasizes Bayesian approaches that uncover counterfactuals and improve forecasting robustness. Colleagues describe him as approachable and network-minded—he prefers to form real-world connections before expanding his professional circle online.
13 years of coding experience
4 years of employment as a software developer
Master of Science (MS), Information, Risk and Operations Management, Master of Science (MS), Information, Risk and Operations Management at Texas McCombs School of Business
Doctor of Philosophy (PhD), Statistics, Doctor of Philosophy (PhD), Statistics at The University of Texas at Austin
Master of Science (MS), Statistics, Master of Science (MS), Statistics at Brigham Young University
Chinese