Petr holds a M.S. in physics from the Novosibirsk State University, Russia. Petr’s background is in theoretical and computational fluid dynamics and physics, as well as adjoint-based shape optimisation and control of dynamic systems.
Prior to joining Enthought, Petr worked at the University of Cambridge developing and publishing optimal control methods for microscale acoustic devices. He is very passionate about making complex engineering systems simple, and writing scientific software for these models.
In his free time, Petr enjoys cycling, board games and studying game theory and machine learning.
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