Seyed Kia is an Assistant Professor and machine learning researcher based in the Netherlands with 13 years of experience bridging computational theory and applied neurocognitive science. He holds a Ph.D. in Computer Science from Università degli Studi di Trento and combines deep expertise in mathematical modeling, computer vision, and Python-driven data analysis with hands-on postdoctoral work at major Dutch brain and medical research centers. His roles at Tilburg University, UMC Utrecht, and the Donders Institute reflect a track record of translating rigorous research into interdisciplinary collaborations across neuroscience and clinical settings. Comfortable with both theoretical development and experimental pipelines, he brings a rare blend of cognitive-science training (honors MSc) and software engineering foundations from an earlier BSc in software engineering. Colleagues note his ability to simplify complex models for practical evaluation in neuroimaging and vision tasks, making him effective at moving ideas from hypothesis to reproducible code and publications. He is particularly adept at integrating mathematical insights into scalable Python implementations for data-driven discovery.
13 years of coding experience
Bachelor of Science (BS), Computer Software Engineering, Bachelor of Science (BS), Computer Software Engineering at Ferdowsi University of Mashhad
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Università degli Studi di Trento
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.