Oh-hyeon Choung is a Senior Data Scientist based in Basel with over eight years of experience building and optimizing machine learning pipelines across NLP, computer vision and drug discovery. He blends academic rigor from a PhD in Neuroscience at EPFL with hands-on engineering—shipping models and web tools (React, FastAPI, PostgreSQL) for teams at Novartis and startups. His research at EPFL produced bio-inspired vision modules that achieved SOTA with fewer parameters and informed adversarial robustness evaluations, highlighting a knack for making models both efficient and interpretable. At Novartis he translated chemists’ intuition into predictive models for drug campaigns, and more recently he worked on ML-driven cheminformatics via ETH-affiliated projects. Now at dsm-firmenich he applies this cross-domain expertise to industrial problems, combining neuroscience-informed modeling with production-ready systems. Colleagues describe him as someone who routinely reduces computational cost while preserving or improving performance—an engineer who thinks like a scientist.
8 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD Neuroscience, Doctor of Philosophy - PhD Neuroscience at EPFL
Master of Science - MS Neuroscience, Master of Science - MS Neuroscience at Korea Advanced Institute of Science and Technology
Contributions:42 commits, 31 pushes, 1 branch in 10 months
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