Summary
Majid Mohammadi is a senior researcher and algorithm-minded machine learning scientist with eight years of research experience, holding a PhD (cum laude) in Artificial Intelligence from TU Delft. He specializes in statistical learning theory, Bayesian methods, and interpretable kernel techniques, bridging rigorous theory with practical algorithms that address real-world problems. His postdoctoral work and funded visiting positions across European research centers (VU Amsterdam, JADS, CISPA, Philipps‑Marburg) reflect a focus on interpretability and trustworthy ML. Now based in the Randstad and leading research at AI Technology for Life, he combines academic depth with applied impact, often translating theoretical insights into reproducible code and collaborations. An early web-development background gives him an uncommon appreciation for production-ready systems alongside formal statistical modeling.
8 years of coding experience
6 years of employment as a software developer
Bachelor's degree Computer Software Engineering, Bachelor's degree Computer Software Engineering at Ferdowsi University of Mashhad
Doctor of Philosophy - PhD Artificial Intelligence, Doctor of Philosophy - PhD Artificial Intelligence at Delft University of Technology