Founding Member Of Technical Staff at ACM, Association for Computing Machinery
Oxford, England, United Kingdom
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Summary
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Senior
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Top School
Atılım Baydin is a researcher-engineer with 11 years of experience specializing in probabilistic modeling, simulation-based inference, and differentiable programming. He is a Founding Member of Technical Staff at a stealth startup building large-scale generative models for materials discovery, combining deep learning with domain-aware simulation. Previously he served as a Departmental Lecturer in Machine Learning at Oxford, published in top venues including NeurIPS, ICLR, JMLR and Science, and has collaborated with industry labs such as Microsoft Research Cambridge. He advises funding panels and journals (The Royal Society, ACM TAIS) and consults on translating academic ML advances into commercial innovation. His background in higher-order automatic differentiation and probabilistic programming underpins a practical focus on scalable Bayesian inference and surrogate models. Based in Oxford, he pairs rigorous academic training (PhD in AI) with hands-on development of generative AI systems for material science—a less visible thread linking theory to real-world discovery.
11 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (PhD) Artificial Intelligence, Doctor of Philosophy (PhD) Artificial Intelligence at Universitat Autònoma de Barcelona
Ankara Anadolu Lisesi
Master of Science (MS) Complex Adaptive Systems, Master of Science (MS) Complex Adaptive Systems at Chalmers University of Technology
Bachelor of Science (BS), Bachelor of Science (BS) at Orta Doğu Teknik Üniversitesi / Middle East Technical University
Contributions:11 commits, 2 pushes in 1 year 3 months
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