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Robust Data Science with Statistical Modeling

May 14, 2018
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Robustify your data science with statistical modeling, whether you work in tech, epidemiology, finance or anything else.

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About Michael Betancourt


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Guest
Michael Betancourt

Michael Betancourt is the chief research scientist at 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.


Photo of Hugo Bowne-Anderson
Host
Hugo Bowne-Anderson

Hugo is a data scientist, educator, writer and podcaster at DataCamp. His main interests are promoting data & AI literacy, helping to spread data skills through organizations and society and doing amateur stand up comedy in NYC.

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