Artem Sergeevich Ryzhikov is an Associate Professor and Research Fellow at the National Research University Higher School of Economics (HSE), working within the Faculty of Computer Science. He is affiliated with both the Institute of Artificial Intelligence and Digital Sciences and the Department of Big Data and Information Retrieval, where he leads research in the Research and Educational Laboratory of Big Data Analysis Methods. 2024: Candidate of Physical and Mathematical Sciences, National Research University Higher School of Economics 2018: Master's degree in Applied Mathematics and Computer Science, National Research University Higher School of Economics 2015: Bachelor's degree in Physics, Novosibirsk National Research State University Dr. Ryzhikov's research spans the intersection of machine learning, artificial intelligence, and high-energy physics. His work focuses on developing and applying advanced computational methods to solve complex problems in particle physics, particularly in the areas of anomaly detection, detector calibration, and analysis of large-scale experimental data from facilities like LHCb. He has made significant contributions to amplitude analyses of B-meson decays, studies of CP violation, and applications of generative models in physics instrumentation. His interdisciplinary approach bridges theoretical physics with cutting-edge machine learning techniques, enabling novel insights into fundamental particle interactions and detector performance optimization. Analysis of Dr. Ryzhikov's recent publications reveals a strong focus on applying machine learning techniques to particle physics problems, particularly in detector calibration and data analysis. His work spans both theoretical developments in amplitude analysis and practical applications of deep learning for instrumentation challenges. The research demonstrates increasing integration of AI methods with traditional physics analysis techniques, reflecting broader trends in the field. Letter of thanks from the Vice-Rector of HSE (September 2022) Bonus for publication in international peer-reviewed scientific journal (2021-2022, 2022-2023) Bonus for regular publications in international peer-reviewed scientific journals (2024-2029) Dr. Ryzhikov supervises graduate students working at the intersection of computer science and physics. His research is supported by institutional funding from HSE and likely benefits from collaborations with major physics experiments like LHCb at CERN. He regularly publishes in top physics and computer science journals, demonstrating the impact and recognition of his interdisciplinary work. Dr. Ryzhikov leads research activities within the Research and Educational Laboratory of Big Data Analysis Methods, where his team develops novel computational approaches for physics data analysis. The laboratory serves as a hub for interdisciplinary collaboration between computer scientists and physicists, fostering innovation in both fields through the application of advanced data science techniques to fundamental research questions.
