Michael Stopa

WORK HISTORY

EDUCATION

SKILLS

ABOUT MICHAEL STOPA

High quality, versatile researcher, originally in nanophysics, applied math and chemistry now specialize in machine learning, computer vision, NLP, graph ML. Perceptive, motivating manager with 15+ years of experience in varied settings/projects. Highly articulate with the written and spoken word. Superb, congenial colleague able to navigate organizations and interface with varied external partners.Artificial Intelligence and machine learning specialist. Deep learning, neural networks, future of AI. Recent research emphasis in graph machine learning, video analysis and action recognition. Also working with graph databases, notably neo4j. Chainer, python, TensorFlow, Cypher. Distinguished scientist – physics, materials science, computational science, nanophysics, semiconductors, electronics, chemistry over 130 publications and over 1800 citations on nanoscience, h-index 25. Google scholar page: goo.gl/SHBFVf. Recognized authority on simulation of semiconductor devices, high performance computing, future of nanoscience, cyberinfrastructure, computing beyond Moore’s law, GPU computing. Proven leader – founder and director of National Nanotechnology Infrastructure Network Computation Project (NNIN/C), providing hardware, software, workshops and domain expertise on computation for nanoscience. Overseeing computation node at Harvard as well as directing local site coordinators at Cornell, Stanford and U Michigan. Respected mentor – highly talented and awarded teacher and mentor of graduate, undergraduate and secondary school students (reference letters available). Teacher’s rating of 6.7/7 MIT graduate chemistry course.Active organizer – of numerous conferences and workshops including symposia on Energy Research, Photosynthesis and on Synergy Between Computation and Experiment in Nanoscience. Fundraiser – recent examples: successfully participated in competition for DARPA grant on surface enhanced Raman spectroscopy and DTRA grant on “Coherent Molecular Profiling.”