Data Scientist and Lead Challenge Architect
Michael Endres is a data science postdoctoral fellow in the Crowd Innovation Lab/NASA Tournament Laboratory at Harvard University. His research interests span multiple areas, including algorithm development, high performance computing, and computational physics. He has growing interests in machine learning and computational biology. Michael holds a PhD in particle and nuclear theory from the University of Washington, and has held postdoctoral researcher positions at Columbia University, RIKEN, and MIT prior to joining the laboratory.