Mike McKerns
Mike has been a research scientist at Caltech since 2002, and is co-founder of the UQ Foundation, a non-profit for the advancement of predictive science. Mike is the author several python packages, including mystic (highly-constrained non-convex optimization and uncertainty quantification), pathos (parallel graph management and execution in heterogeneous computing), and dill (serialize all of python). His software is the backbone of several research projects on risk analysis and predictive science, and is leveraged by several third-party packages in machine learning and parallel computing. He has over fifteen years of teaching experience, and has given hundreds of conference and workshop presentations.
Presentations
Efficient Python for High-Performance Parallel Computing
Sunday 9 a.m.–12:20 p.m. in C123+124
PyCon 2016 in Portland, OR is a production of the 