Ivan Ustyuzhaninov is a Postdoctoral Researcher and machine learning specialist with 11 years of technical experience and over five years focused on probabilistic modeling, neural networks, and computational neuroscience across academia and industry. He completed a PhD in Computer Science at the University of Tübingen after training in computational neuroscience and mathematics, blending rigorous theoretical grounding with applied ML practice. His recent roles include AI Scientist at Silo AI and ongoing postdoctoral research at TU Dortmund University, reflecting a trajectory from PhD research to industry-facing AI solutions and back into academic innovation. Ivan is comfortable translating complex probabilistic models into practical systems and brings domain insight from neural computation to modern ML architectures. Based in Dortmund, Germany, he pairs deep quantitative skills with hands-on experimentation—an asset for projects requiring both theoretical rigor and deployable outcomes.
10 years of coding experience
1 year of employment as a software developer
Master's degree, Computational Neuroscience, Master's degree, Computational Neuroscience at University of Tübingen
Dr. rer. nat., Computer Science, Dr. rer. nat., Computer Science at University of Tuebingen
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Ivan Ustyuzhaninov - Postdoctoral Researcher at TU Dortmund University