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.
9 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 (165)
wrapping10
tensorboard10
metadata9
pybind119
python-bindings9
svn9
checker9
blender9
experiment8
model-conversion8
cpp8
python8
prompt-engineering8
c-library8
visualization8
Programming languages (9)
Github contributions (5)
smrfeld/whats-my-vote-worth
Nov 2020 - Sep 2024
What's my vote worth? Your state's voting power in the electoral college.
Contributions:1 release, 2 PRs, 15 pushes in 3 years 10 months
csselectoralflaskpythonvoting
smrfeld/cmake_cpp_pybind11_tutorial
Jul 2020 - May 2021
Tutorial for wrapping C++ library into Python using pybind11 and CMake
Contributions:14 commits, 2 PRs, 10 pushes in 10 months
pythoncmakecppc-librarypython-bindings
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