Oliver Ernst
Machine Learning Engineer at Jane Street
Hong Kong Island, Hong Kong, China
Summary
👤
Senior🎓
Top SchoolOliver Ernst is a machine learning engineer with a PhD in physics and nine years of experience building physics-informed ML methods and production systems. He moved from academic research—where he created domain-aware deep learning models for reaction-diffusion systems, published four first-author papers, and released Python/TensorFlow and C++ implementations—to industry roles scaling ML at Microsoft and now Jane Street. Oliver co-founded a health-focused ML startup, giving him product and startup experience in addition to research depth. He combines strong theoretical foundations in graphical models and deep learning with practical engineering for production ML. Based in Hong Kong, he brings a rare blend of neuroscientific modeling expertise and hands-on software delivery across research, startup, and large-company settings.
10 years of coding experience
9 years of employment as a software developer
University of California, San DiegoBachelor's degree, Physics, Bachelor's degree, Physics at Case Western Reserve University
Github Skills (99)
pybind119
tensorboard9
blender9
neural8
cpp8
model-conversion8
python8
cmake8
metadata8
doxygen8
regularization8
visualization8
simulation8
mathematica8
svn8
Programming languages (11)
Github contributions (5)
mcellteam/neuron_launcher
Sep 2016 - Feb 2017
Set of tools in Blender to create models for MCell/Neuron hybrid simulations
Contributions:15 commits, 18 pushes, 1 branch in 4 months
blendercable-modelmcellneuron-simulationsswc
smrfeld/DynamicBoltzmann
Apr 2019 - Jun 2021
Contributions:8 releases, 72 pushes, 3 branches in 2 years 1 month
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