Maxim Miroshnichenko
Mathematical modeling | Systems biology | Bioinformatics
Sirius University of Science and Technology · Sirius, Russia
Email
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GitHub
ORCIDResearch interests
My research focuses on mechanistic modeling of biological systems, particularly immune response dynamics and regulated cell death. I am interested in how intracellular signaling mechanisms, such as TNF-mediated necroptosis, can be connected to population-level and tissue-level inflammatory processes.
Current research directions:
- intracellular models of cell death signaling
- within-host models of viral infection and immune response
- multiscale modeling of cell death-driven inflammation
- differential-equation and agent-based models of biological systems
- Julia and Python-based computational workflows
Education
PhD Student in Computational Biology
Sirius University of Science and Technology
Computational Biology track
2023–present
MSc in Information Biology and Bioinformatics
Novosibirsk State University
Faculty of Natural Sciences, Department of Information Biology
GPA: 4.88 / 5
2021–2023
BSc in Biology
Tomsk State University
Biological Institute, Department of Plant Physiology, Biotechnology and Bioinformatics
GPA: 4.875 / 5
2017–2021
Publications
Conference presentations
2026
15th International Multiconference “Bioinformatics of Genome Regulation and Structure/Systems Biology”
Apoptosis and other fundamental cellular processes regulating cell fate section
Novosibirsk, Russia · July 6–11, 2026 · Oral presentation in English
2025
A modular mathematical model of the immune response for investigating the pathogenesis of infectious diseases
Modern Models and Methods in Mathematical Immunology
Sirius, Russia · November 3–7, 2025 · Oral presentation
Mathematical model of TNF-induced necroptosis with blocked alternative death pathways
Modern Models and Methods in Mathematical Immunology
Sirius, Russia · November 3–7, 2025 · Oral presentation
2024
14th International Multiconference “Bioinformatics of Genome Regulation and Structure/Systems Biology”
Mathematical Immunology section
Novosibirsk, Russia · August 5–10, 2024 · Oral presentation in English
2022
Applied Mathematics of Immunology and Virology
Sochi, Russia · November 14–18, 2022 · Oral presentation
13th International Multiconference “Bioinformatics of Genome Regulation and Structure/Systems Biology”
Mathematical Immunology section
Novosibirsk, Russia · July 4–8, 2022 · Oral presentation in English
60th International Scientific Student Conference
Bioinformatics section
Novosibirsk, Russia · April 10–20, 2022 · Oral presentation
2020
International Forum “Biotechnology: State and Prospects of Development”
Moscow, Russia · October 28–30, 2020 · Conference abstract
LXIX Scientific Student Conference of the Biological Institute “Start in Science”
Tomsk, Russia · April 20–24, 2020 · Oral presentation
Research projects
Clonal hematopoiesis and solid tumor treatment
Development of a hybrid mathematical model combining ODE/SDE systems with an agent-based approach to study how mutations in hematopoietic stem cells shape clonal hematopoiesis and influence treatment response in solid tumors.
Within-host SARS-CoV-2 infection and immune response
Development of a multiscale within-host model of SARS-CoV-2 infection in the respiratory tract, combining ODE/SDE dynamics, agent-based modeling, spatial viral spread, inflammation, intracellular cell death processes, and fibrosis development.
TNF-mediated necroptosis
Development of a mechanistic ODE model of TNF-mediated necroptosis that extends classical cytoplasmic signaling descriptions by explicitly incorporating nuclear translocation and compartment-specific protein dynamics.
Additional academic activities
Scientific schools and workshops
Mathematical Modeling in Drug Development
Sirius University, Sochi, Russia · April 24–29, 2023
SBB-2021 & PlantGen School 2021 Young Scientists Multischool
Novosibirsk State University, Novosibirsk, Russia · October 4–9, 2021
Awards and scholarships
Vladimir Potanin Scholarship
Scholarship recipient · 2022–2023
I Am a Professional Olympiad, 4th season
Winner, Biology track, Bachelor’s category · 2020/2021
Technical skills
Programming
Mathematical modeling
Bioinformatics
Computational tools
Languages