Michael Coen
Location: (Madison, WI)
Personal Research Web Page: http://biocomp.wisc.edu
Keywords: Machine learning, Clustering, Computational Biology, Biological Modeling, Computation Cognitive Science
Posted on: Friday, May 6th, 2011
Broad Research Area: AI / Machine Learning / Robotics / Vision, Scientific/Medical Informatics
Research Interests:
My main interest currently is the boundary between statistics and statistical machine learning, both from theoretical and practical perspectives. The primary tools I develop are in spatially-based statistics and unsupervised machine learning, specifically clustering and regression. A major domain for applying this work is on large biological datasets, which is an extremely popular application area at UW-Madison. I thus collaborate closely with practicing physicians and researchers in our school of medicine.
My research group’s work also focuses on applications of optimization theory and operations research to machine learning. We are particularly interested in understanding how animals solve optimization problems that appear intractable and the inductive biases that make this possible.
Contact Information:
Applicants should email a CV and the names of two potential references to Michael Coen: mhcoen@cs.wisc.edu.
