Summary
Humberto Sandmann is an associate professor and computational scientist based in São Paulo with eight years of focused experience bridging bio-inspired neural computing, computational complexity, and applied AI. He blends deep academic research—PhD work linked to Max Planck and USP— with practical software architecture and high-performance systems, having led research ventures and founded technology consultancies. His work spans pattern recognition, small-world network theory, cryptography and banking optimization, reflecting a rare mix of theoretical foundations and industry-facing problem solving. At Insper and multiple universities he teaches and supervises cutting-edge topics while maintaining hands-on roles in machine learning and computer vision projects. Notably, he pairs insights from biological neuronal models with scalable engineering, aiming to reproduce human-like processing behaviors in practical AI systems.
8 years of coding experience
22 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at Max-Planck-Institute für Dynamics und Selbstorganisation
Doctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at Escola Politécnica da USP
Bachelor’s Degree, Bachelor’s Degree at FEI - Faculdade de Engenharia Industrial
Volkshochschule Göttingen
High School, High School at ETEC Jorge Street
Portuguese, English, German