Dr. Arif Dönmez
Contemporary Mathematician
My background is in pure mathematics, with a focus on geometry, representation theory, and classification.
After my PhD , I moved into environmental health, applying mathematics and computation to evaluate neurotoxicity. At the Leibniz Research Institute IUF , I led data evaluation for studies connected to the U.S. National Toxicology Program, co-led technical work for the ENDpoiNTs project, and contributed to peer-reviewed studies.
I co-founded DNTOX , leading technical and application work in regulatory toxicology. I design compliant, reproducible systems integrating toxicology, statistics, and software engineering.
I also advise at the science-policy interface, serving as a hearing expert for the EFSA Neurotoxicity Working Group.
My current research spans geometric deep learning and neural dynamics in machine learning , with a broader interest in how structure emerges, is represented, and behaves under constraint.