Professor & Canada CIFAR AI Chair, Amii 

Michael Hamada is an applied statistician who has worked at Los Alamos National Laboratory since 1998. He received his PhD in Statistics from the University of Wisconsin-Madison. Previously he worked at the US Department of Agriculture, the University of Waterloo, Bellcore, and the University of Michigan. He is a Fellow of the ASA, ASQ, and Los Alamos National Laboratory. He is also a co-author of the books Experiments: Planning, Analysis and Optimization, Third Edition and Bayesian Reliability.

Autoregressive Networks

Robust Experimental Designs for Model Calibration

Veridical Data Science

Bringing Ideas to Fruition—An Investor's Perspective

After a brief description of my long journey from a Statistics graduate to an entrepreneur to an investor, I will give examples of how our venture capitalist firm (CRV) helps bring some new ideas to fruition. I will also talk about how statisticians and data scientists can contribute to today's business environment.