Summary
Hamza Keurti is an assistant professor and PhD researcher at ETH Zürich and the Max Planck‑ETH Center, specializing in self‑supervised learning of perception from interaction by combining mathematical formalism with computational models. He leverages a strong foundation in applied mathematics and physics from CentraleSupélec and advanced computing from Tsinghua to design algorithms that recover environmental structure using only consistency constraints. His work spans theoretical modeling of biological perception (including unsupervised explanations of pitch emergence) and practical systems engineering, with prior industry experience building large‑scale C++ optimizers at Schlumberger that led to a patented heuristic and a Supercomputing demo. Based in Zurich and originally from Morocco, he bridges rigorous theory and production‑grade implementation, often drawing on cross‑disciplinary insights from neuroscience, signal statistics, and optimization.
9 years of coding experience
1 year of employment as a software developer
Diplôme d'ingénieur (MEng), Computational and Applied Mathematics, Diplôme d'ingénieur (MEng), Computational and Applied Mathematics at Ecole Centrale Paris
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at ETH Zürich
Master's degree, Advanced Computing, Master's degree, Advanced Computing at Tsinghua University
China's global governance and politics, Politics, International Relations, Chinese, China's global governance and politics, Politics, International Relations, Chinese at 上海交通大学
French, Arabic, English, Chinese, German