Michael Krygier

Biography

Michael C. Krygier earned his Ph.D. in Physics from the Georgia Institute of Technology, where his research centered on computational fluid dynamics. His work specifically addressed the turbulence problem through the lens of dynamical systems, leading to the development of a nonlinear optimization software tool designed to calculate Exact Coherent Structures (ECSs), or unstable invariant solutions, to the Navier-Stokes equations. Prior to his doctoral studies, he obtained dual B.S. degrees in Physics and Mathematics from Georgia Southern University.

Krygier’s research interests are diverse and interdisciplinary, encompassing areas such as Bose-Einstein condensates, atom interferometers, quantum physics, quantum computing, fluid turbulence, nonlinear dynamics, hypersonics, thermodynamics, numerical optimization algorithms, software development, and high-performance computing. At the Neural Exploration & Research Laboratory (NERL) at Sandia, his current research focuses on the development of neuromorphic computing algorithms, particularly non-conventional approaches like neural random walkers that differ from traditional neural networks.

He is a key developer of Sandia’s Fugu software tool, which facilitates the creation of general neural algorithms that can be easily compiled and executed on various neuromorphic hardware platforms. This capability is particularly advantageous as it eliminates the need to implement the same neural algorithm independently for each neuromorphic system. Krygier is excited about the prospect of deploying new neuromorphic computing algorithms on state-of-the-art neuromorphic hardware, which boasts more than one-billion neurons, using Sandia’s Fugu software.

Education

Ph.D., Physics, Georgia Institute of Technology

B.S., Physics, Georgia Southern University

B.S., Mathematics, Georgia Southern University

Publications