Etienne Mueller is an AI and computational neuroscience researcher and engineer with eight years of experience building practical, production-ready AI systems and neuromorphic tools for industry and academia. He has delivered large efficiency gains—designing a brain-activity predictor that slashed training time by 98%, a TensorFlow spiking-network tool that halved hardware test time, and an in-house invoice AI that cut external software costs by 90%. Comfortable across the stack, he codes in Python, TensorFlow and JAX and has moved models from research GPUs to real-world hardware and GDPR-compliant products. Now based in Bangkok as an Assistant Professor in AI & Data Science, he blends academic rigor with startup-speed execution to push computational neuroscience toward deployable solutions. An early background in robotics and autonomous systems informs his practical focus on low-cost, high-impact ML innovations.
8 years of coding experience
6 years of employment as a software developer
PhD Candidate, Computer Science (Artificial Intelligence), PhD Candidate, Computer Science (Artificial Intelligence) at Technical University of Munich
Icam - Institut Catholique d'Arts et Métiers
Master of Science (M.Sc.), Product Development and Production (Autonomous Driving), Master of Science (M.Sc.), Product Development and Production (Autonomous Driving) at Technische Universität Hamburg-Harburg
Summer School, Summer School at University of Waterloo
German, französisch (dalf c2), English, Spanish, Chinese
Contributions:6 pushes, 1 branch in 2 years 7 months
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Etienne Mueller - Assistant Professor AI & Datascience