PhD, Electrical Engineering
PhD, Electrical Engineering
Alexandre is passionate about transforming people and the work they do. He has taught the scientific Python stack and machine learning to hundreds of scientists, engineers, and analysts at the world’s largest corporations and national laboratories. His graduate research was in the field of hearing research, where he developed models of human speech perception. He holds a Ph.D. in Electrical Engineering and a M.Sc. in Acoustics Engineering from the Technical University of Denmark and a B.Eng. in Electrical Engineering from the Université de Sherbrooke.
Dillon is both a Python expert and an expert trainer. During his graduate research in computational semantics and advanced neuroimaging applications, Dillon taught graduate-level classes in R and Python. Today, he contributes to several open-source initiatives, including Mozilla Science Lab, Bayes Impact, and Open Austin. Prior to joining Enthought, Dillon developed heterogeneous processing and analytics pipelines for Berkeley’s Data Lab. He holds a Ph.D. in anthropology from the University of California at Berkeley.
Mike has taught Python, physics, applied math, computing, and finance for more than fifteen years in the classroom and at hundreds of workshops and seminars. He has been developing parallel and distributed computing software infrastructure for over ten years, and large-scale optimization and risk analysis software frameworks for over five years. He has served as manager and developer for multi-million dollar software projects on predictive science, large-scale computing, and financial credit risk, and has consulted on scientific applications of HPC in various fields. Mike has been a research scientist at Caltech since 2002. He holds a Ph.D. in physics from the University of Alabama at Birmingham and a B.S. in applied physics from Notre Dame.
PhD, Mechanical Engineering
Tim focuses on applying machine learning and artificial intelligence to chemical manufacturing. Before joining Enthought, Tim built laser melting fabrication models as a research scientist in the Freeform Fabrication Laboratory at The University of Texas. Between his master’s and doctoral degrees, Tim spent five years at the Michelin Americas R&D Corporation, improving handling performance with tire-vehicle modeling and simulation. His graduate work focused on production system design, thermal and fluid systems modeling, and combustion science. He holds three degrees in mechanical engineering, including a Ph.D. from The University of Texas at Austin, a M.S. from M.I.T., and a B.S. from The University of Texas at Austin.
Chris has an in depth background in computational physics, and is passionate about applying his expertise to solve problems in materials science. At Michigan State University, he investigated the dynamics of correlated percolation and methods for combining complimentary structural information to determine the atomic structure of materials. There, and later Columbia University, Chris was a member of the DANSE diffraction team and helped develop the DiffPy package for diffraction analysis. He holds a Ph.D. in physics from Michigan State University.
PhD, Pure Mathematics
Mark is a member of the Python core development team with expert emphasis on Python’s numeric code. He has held teaching and research positions at the University of Michigan, the University of Pittsburgh, and the National University of Ireland, Galway. Mark holds a B.A. in pure and applied mathematics from the University of Cambridge and a Ph.D. in pure mathematics from Harvard.
PhD, Applied Mathematics
Joris is passionate about applied mathematics and software engineering and has published extensively on dynamical systems and hydrodynamics. Before joining Enthought, he was a Fulbright scholar at Caltech, and held research positions at the University of California, San Diego, and Imperial College London. Joris holds a Ph.D. in applied mathematics from Ghent University in Belgium.
PhD, Pure Mathematics
Corran has been a Python thought leader from the start of his career. As chief scientist at Compudigm International, Corran used self-organizing maps for predictive modeling and enterprise data visualization. He has held teaching positions at the University of Nevada, Las Vegas as well as Texas A&M, with a concentration in functional analysis and operator algebras. He has been programming in Python since 1995, when he served as a teaching assistant for UCLA’s Program in Computing. He holds a Ph.D. in pure mathematics from UCLA and a B.S. from the University of New South Wales.
MS, Agricultural Engineering
Didrik is an expert in artificial intelligence, data management, and software development. He honed his leadership by running his own company, providing data management solutions in the environmental sector. Prior, Didrik served as a research assistant at Catholic University of Louvain (UCL) in Belgium, developing Python-based integrated water resource management applications. A proponent of open source software development, Didrik is on the board of NumFocus, and is an organizer and speaker at EuroSciPy. He holds an M.S. in agricultural engineering and an M.S. in management from UCL.