About the Speaker:

Michael Betancourt, PhD, is the principal research scientist with Symplectomorphic, LLC where he develops theoretical and methodological tools to support practical Bayesian inference. He is also a core developer of Stan®, where he implements and tests these tools. In addition to hosting tutorials and workshops on Bayesian inference with Stan® he also collaborates on analyses in epidemiology, pharmacology, and physics, amongst others. Before moving into statistics, Michael earned a B.S. from the California Institute of Technology and a Ph.D. from the Massachusetts Institute of Technology, both in physics.

Website: https://betanalpha.github.io

Twitter: @betanalpha

About Stan®:

Stan® is a state-of-the-art platform for statistical modeling and high-performance statistical computation. Thousands of users rely on Stan® for statistical modeling, data analysis, and prediction in the social, biological, and physical sciences, engineering, and business.

Website: https://mc-stan.org/