Nicholas Gao
Member Of Technical Staff at CuspAI
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolNicholas Gao is a machine learning researcher and engineer with 10 years of experience, now a Member of Technical Staff at Cusp AI in Berlin. He completed a PhD at TU Munich focused on machine learning for graphs and molecules and has hands-on research internships at Microsoft AI4Science and NASA Ames tackling neural-network-driven quantum Monte Carlo and quantum machine learning. His background spans academia and applied R&D, including modeling quantum chemistry with deep networks and building AI systems at startups and research institutes. Nicholas combines rigorous theoretical training—top-10% marks through his BS/MS—with practical delivery of ML solutions that bridge chemistry, physics, and graph-structured data. Colleagues describe him as someone who enjoys turning ideas into working systems, often bringing interdisciplinary insights from computational chemistry into ML model design. Based in Berlin, he brings both deep research chops and startup-style product focus to production-ready AI.
10 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computer Science, passed with high distinction - top 10%, Master of Science - MS, Computer Science, passed with high distinction - top 10% at Technische Universität MünchenMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at University College DublinBachelor of Science - BS, Computer Science, top 10%, Bachelor of Science - BS, Computer Science, top 10% at Technische Universität Braunschweig
German, English
Github Skills (200)
parallel10
python10
messenger10
windows10
metadata10
lua10
prompt-engineering10
chat10
resolver10
deep-learning10
gpu10
ray10
optimization10
javascript10
reproducible-science10
Programming languages (15)
Github contributions (5)
n-gao/pytorch-kfac
Jul 2020 - Feb 2022
Pytorch implementation of KFAC - this is a port of https://github.com/tensorflow/kfac/
Contributions:17 commits, 2 PRs, 17 pushes in 1 year 7 months
pytorchkfactensorflowpytorch-implementation
n-gao/seml_logger
Jul 2022 - Mar 2023
A small utility class to enable easy logging with TensorBoardX for experiments managed via `seml`
Contributions:41 commits, 2 PRs, 56 pushes in 7 months
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