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Denis Rubtsov is a Principal Data Scientist at IntelliSense.io, where expertise encompasses modeling and optimization of industrial processes through techniques such as linear and nonlinear optimization, reinforcement learning, and machine learning. Previous experience includes a Research Associate role at the University of Cambridge, focusing on biomarker identification using Bayesian methods in metabolomics and transcriptomics. Earlier positions include Signal Processing Engineer at BlueGnome ltd, contributing to NMR spectra quantification algorithms, and Senior Software Developer at the State Agency for Real Estate Registration, where software development for real estate information systems was key. Denis Rubtsov holds a PhD in Applied Stats from Altai State University and an MA in Computer Aided Design from Altai State Technical University, complemented by additional education at London Business School.