Dmytro Oliinychenko is a data scientist at Microsoft Bing Ads with 12 years of experience applying statistical modeling, neural networks, and exploration–exploitation strategies to optimize ad asset selection and long-term advertiser ROI. He transitioned from a rigorous academic career as a postdoctoral researcher simulating high-energy heavy ion collisions at institutions including UW and Berkeley Lab, bringing deep expertise in numerical simulation, analytical methods, and high-performance computing. Comfortable in Python, C++, and Fortran, he combines production ML work with principled experimental design to balance immediate performance and information gain. Based in Seattle, he leverages his physics background to tackle complex probabilistic problems and to design models that thoughtfully trade off short-term clicks for long-term user and advertiser satisfaction.
12 years of coding experience
7 years of employment as a software developer
Master's degree, Physics, Mathematics, Master's degree, Physics, Mathematics at Moscow Institute of Physics and Technology (State University) (MIPT)
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Johann Wolfgang Goethe-Universität Frankfurt am Main
Computing fluctuations of particle multiplicities in the canonical/microcanonical ensemble. Uses SMASH transport code (https://github.com/smash-transport/smash) and formulas developed in [ Hauer, Begun and Gorenstein, Eur. Phys. J. C 58, 83 (2008), doi:10.1140/epjc/s10052-008-0724-1 [arXiv:0706.3290 [nucl-th]].
Contributions:5 commits, 2 PRs, 16 pushes in 3 years 4 months
Contributions:6 PRs, 10 pushes, 5 branches in 2 years 5 months
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