Mohamed Elgendy is the Co-Founder and CEO of Kolena, a San Francisco-based AI testing and validation platform that raised $21M to help enterprises build reliable, trustworthy AI systems. An Egyptian-American technologist and author of the widely-read 'Deep Learning for Vision Systems' (Manning Publications, 20,000+ copies sold), Elgendy cut his teeth building AI/ML organizations at Amazon, Twilio, Rakuten, and Synapse (acquired by Palantir) before founding Kolena in 2021. His mission: bring software engineering rigor - unit testing, regression analysis, scenario-level validation - to a field that has long relied on aggregate accuracy scores that mask real-world failures.
Osman Ali Mian is an early-career AI researcher specializing in causal discovery and trustworthy machine learning. He completed his PhD magna cum laude at CISPA Helmholtz Center for Information Security (Saarland University, Germany) and is now a postdoctoral researcher at the Institute for Artificial Intelligence in Medicine (IKIM) in Essen. He has published at top-tier venues including AAAI, ICML, AISTATS, and KDD, and won an Outstanding Paper Award at AAAI 2026 — marking him as a rising star in causal ML.