Dr. Arif Dönmez

Contemporary Mathematician

geometric deep learning · computational toxicology · neural dynamics

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 neurotoxicity. At the Leibniz Research Institute IUF , I worked on 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 , where I lead technical and application work in regulatory toxicology. I build compliant, reproducible systems that connect toxicology, statistics, machine learning, and software engineering.

I also work at the science-policy interface, serving as a hearing expert for the EFSA Neurotoxicity Working Group.

My current research spans geometric deep learning , neural dynamics , and computational toxicology, with a broader interest in how structure emerges, how it is represented, and how it behaves under constraint.