Michael is chief data scientist at DataRobot where he works on algorithms and techniques to automate machine learning processes. His research has appeared in the New York Times, NPR's RadioLab, and Communications of the ACM. Michael also created the Eureqa project, a software program for discovering hidden mathematical relations in experimental data.