O Akyildiz is an Assistant Professor at Imperial College London with nine years of research experience developing statistical methodology at the intersection of computational statistics and machine learning. He has a strong track record across top UK institutions (Imperial, Cambridge, The Alan Turing Institute) applying sequential Monte Carlo, variational particle methods and probabilistic reformulations of optimisation to high-dimensional and engineering problems. His PhD work focused on particle filtering for challenging state-space models, and he has translated that theory into applied projects on air quality, wireless communications and financial time series. Known for bridging deep theory and practical impact, he frequently collaborates across departments and has a history of visiting roles that seed interdisciplinary innovation.
9 years of coding experience
12 years of employment as a software developer
Charles III University of Madrid (Universidad Carlos III de Madrid)
MSc, Telecom Engineering, MSc, Telecom Engineering at Istanbul Technical University
Contributions:12 pushes, 1 branch in 3 years 2 months
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O Akyildiz - Assistant Professor at Imperial College London