Benno Krojer is a PhD candidate at Mila and a research-focused machine learning engineer with 8 years of experience bridging computational linguistics, computer vision, and video understanding. His work spans academic and industry research—internships at Meta (FAIR/JEPA) and Mila center on world models, intuitive physics evaluation, and shortcut-resistant benchmarks for video—while earlier roles applied deep learning to medical imaging, robotics vision, and MT adversarial attacks. He brings a strong experimental bent informed by top grades in computational linguistics and hands-on engineering across startups and research labs. Comfortable moving between theory and production, he often targets robustness—lighting invariance, adversarial resilience, and shortcut-proof evaluation—rather than just raw performance. Based in Montreal, he combines interdisciplinary training with practical contributions that help make perceptual-language models more reliable.
8 years of coding experience
3 years of employment as a software developer
Ludwig Maximilian University of Munich
Phd, Artificial Intelligence, Phd, Artificial Intelligence at Mila - Institut québécois d'intelligence artificielle
Year abroad with Erasmus exchange, Computer Science and Languages, Year abroad with Erasmus exchange, Computer Science and Languages at Trinity College Dublin
Abitur, 1.0 (GPA of 4.0), Abitur, 1.0 (GPA of 4.0) at Asam-Gymnasium München
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.