Hans Melo is a founder and CEO with nine years of experience building AI-driven drug discovery platforms, currently leading Menten AI to design therapeutic peptides using machine learning and emerging quantum computing methods. He brings a rare technical blend of quantum optimization, reinforcement learning, and deep learning grounded in a PhD in Computational Neuroscience and prior academic roles at UCL and University of Toronto. Hans has hands-on engineering experience from digital pathology deep learning tools to large-scale protein design pipelines, and he translates research into product and IP under high unmet medical need constraints. His research interests span quantum machine learning, constrained programming, meta- and few-shot learning, and biologically inspired generative models, reflecting a curiosity-driven approach to hard problems. Based in Stockholm, he also advises organizations on decision science applications, signaling a strong interdisciplinary orientation across science, engineering, and strategy. An unconventional thread in his background is international procurement and supplier management, which informs his practical, operational view of bringing complex technical projects to market.
9 years of coding experience
9 years of employment as a software developer
Bachelor's Degree Physics, Bachelor's Degree Physics at Louisiana State University
Doctor of Philosophy (Ph.D.) Computational Neuroscience (Reinforcement Learning), Doctor of Philosophy (Ph.D.) Computational Neuroscience (Reinforcement Learning) at University of Toronto
Contributions:2 commits, 1 push, 1 branch in 1 day
stockholmmachine-learning
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