Alex Deich is a research staff member and computational physicist specializing in software for gravitational wave detection, currently developing LISA spacecraft simulation at KU Leuven. With 11 years of experience building high-performance C/C++ and Python systems, he bridges algorithmic insight and software best practices to model particle dynamics and chaos near black holes. His PhD work delivered a distributed C/C++ package with a Python wrapper used to publish peer-reviewed results and detect high-precision chaos indicators. Comfortable operating large datasets in AWS and leading teams, he has also applied ML tools like TensorFlow to space-mission planning at NASA Swift. Colleagues rely on him for numerical rigor, scalable engineering, and an appetite for uncovering large-scale structure through combined mathematical and computational investigation.
11 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Physics, Bachelor's degree, Physics at Reed College
PhD, PhD at University of Illinois Urbana-Champaign
Contributions:83 commits, 72 pushes, 1 branch in 6 months
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