Vladimir Puzyrev
Principal Research Scientist at SLB
Cambridge, Massachusetts, United States
Summary
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SeniorVladimir Puzyrev is a Principal Research Scientist based in Cambridge with eight years of experience applying state-of-the-art machine and deep learning techniques to geoscience and numerical modeling problems. He has progressed from postdoctoral and senior research roles in leading academic and supercomputing centers to senior and principal research scientist positions at SLB, blending theoretical advances in CNNs, RNNs, autoencoders, generative models and reinforcement learning with practical inversion and numerical simulation expertise. Vladimir’s work bridges high-performance computing and applied ML, enabling scalable solutions for complex inverse problems and model-based interpretation. He is comfortable moving between research, mentoring, and production-driven development, and has a track record of short-term visiting collaborations at top US universities that broaden his applied perspective. Colleagues note his ability to translate mathematical rigor into deployable algorithms that improve subsurface imaging and decision-making.
8 years of coding experience
8 years of employment as a software developer
English, Spanish, Russian, Ukrainian
Github Skills (2)
disk4
cpp2
Programming languages (2)
Github contributions (4)
vpuzyrev/geolgan
Apr 2021 - May 2021
Contributions:14 commits, 1 push in 1 month
CurtinIDS/pyROM
Jun 2017 - Jan 2019
Contributions:11 commits, 10 pushes in 1 year 6 months
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