Evgeny Dyshlyuk

Evgeny Dyshlyuk, PhD, is an accomplished data scientist currently employed at bp since January 2024. With a strong background in machine learning and data engineering, previous roles include serving as a Machine Learning Researcher/MLOps Engineer at Deep Planet, where significant contributions included the development of a web application for predicting soil health in agriculture. Prior experience as a Machine Learning Engineer/Data Engineer at CGG involved creating a machine learning workflow for petrophysical data analysis and establishing efficient data extraction pipelines. Evgeny also conducted advanced research at Imperial College London on enhanced oil recovery and held various research and scientific positions at Schlumberger, focusing on reservoir physics and geophysics. Early career work at Keldysh Research Center involved R&D for plasma-effect thrusters, culminating in a PhD in Physics from Moscow Institute of Physics and Technology (MIPT). Further education includes training at AiCore from 2020 to 2021.