About Maksim Chupin Maksim Chupin Ph.D. Student, Applied Mathematics and Computational Science Maksim Chupin is a Ph.D. candidate at Stochastic Numerics Research Group (STOCHNUM) under the supervision of Professor Raul F. Tempone at King Abdullah University of Science and Technology (KAUST). Research Interests: Maksim's research interests include Stochastic filtering, Bayesian statistics and numerical methods. Education Profile: 2021 BSc. in Applied Mathematics , Gubkin University, Russia 2024 MSc. in Applied Mathematics, RWTH Aachen University , Germany Publications: Sukharev, M. G., & Chupin, M. (2023). Devices operability control through gas supply system mode parameter routine Articles Related News August 2026 Learn about the article “Filtered Markovian Projection: Dimensionality Reduction in Filtering for Stochastic Reaction Networks” that has been published in Statistics and Computing 2 min read · Mon, Aug 3 2026 News The article "Filtered Markovian Projection: Dimensionality Reduction in Filtering for Stochastic Reaction Networks" by Chiheb Ben Hammouda, Maksim Chupin, Sophia Münker, and Raúl Tempone presents a new framework for efficient filtering in high-dimensional stochastic reaction networks. The work introduces the Filtered Markovian Projection (FMP), a novel dimensionality reduction approach that preserves the conditional distribution of the hidden variables while significantly reducing the computational complexity of the filtering problem. Based on the developed FMP theory, the paper proposes the May 2026 Overview of Dr. habil. Alexander Litvinenko's visit from RWTH to the StochNum group 1 min read · Tue, May 19 2026 News Dr. habil. Alexander Litvinenko visited the StochNum group at KAUST from February 5 to 22 as part of his ongoing collaboration with the Stochastic Numerics group and Principal Investigator Raul Tempone. During this visit, he also initiated a new collaboration with PhD student Maksim Chupin, focusing on low-rank tensor methods in stochastic optimal control. In addition, Dr. Litvinenko continued his collaboration with the group of Professor Rolf Krause. Building on previous joint work with research scientist Dmitry Logashenko in the field of uncertainty quantification for density-driven flow
Learn about the article “Filtered Markovian Projection: Dimensionality Reduction in Filtering for Stochastic Reaction Networks” that has been published in Statistics and Computing 2 min read · Mon, Aug 3 2026 News The article "Filtered Markovian Projection: Dimensionality Reduction in Filtering for Stochastic Reaction Networks" by Chiheb Ben Hammouda, Maksim Chupin, Sophia Münker, and Raúl Tempone presents a new framework for efficient filtering in high-dimensional stochastic reaction networks. The work introduces the Filtered Markovian Projection (FMP), a novel dimensionality reduction approach that preserves the conditional distribution of the hidden variables while significantly reducing the computational complexity of the filtering problem. Based on the developed FMP theory, the paper proposes the
Overview of Dr. habil. Alexander Litvinenko's visit from RWTH to the StochNum group 1 min read · Tue, May 19 2026 News Dr. habil. Alexander Litvinenko visited the StochNum group at KAUST from February 5 to 22 as part of his ongoing collaboration with the Stochastic Numerics group and Principal Investigator Raul Tempone. During this visit, he also initiated a new collaboration with PhD student Maksim Chupin, focusing on low-rank tensor methods in stochastic optimal control. In addition, Dr. Litvinenko continued his collaboration with the group of Professor Rolf Krause. Building on previous joint work with research scientist Dmitry Logashenko in the field of uncertainty quantification for density-driven flow
