Summary
Yuhuang Hu is a Senior Machine Learning Engineer with 14 years of experience, currently applying deep learning and computer vision expertise at LatticeFlow after progressing from Senior Computer Vision Engineer. Trained in AI and neural systems with a PhD in Neuroscience trajectory at the University of Zurich and an MSc from ETH Zürich, he blends rigorous academic research in event-based learning, feature learning and reinforcement learning with hands-on ML engineering. His background includes early robotics research at University of Malaya and a long-standing interest in AGI, decision and information theory, and computational neuroscience, which informs a principled approach to model robustness and interpretability. Based in Zurich, he’s equally at home tuning production vision pipelines and exploring theoretical questions about intelligence, and outside work he’s a committed Go player and former LaTeX tutor—small habits that reflect patience and attention to detail.
14 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Neuroscience, Doctor of Philosophy - PhD Neuroscience at University of Zurich
Master’s Degree Neural Systems and Computation, Master’s Degree Neural Systems and Computation at ETH Zürich
Bachelor’s Degree Computer Science (Artificial Intelligence), Bachelor’s Degree Computer Science (Artificial Intelligence) at University of Malaya