Gleb Pogudin

Gleb Pogudin is an Assistant Professor at École Polytechnique, Institute Polytechnique de Paris, where he is a member of the MAX team within the Laboratoire d'informatique. His research focuses on the intersection of symbolic computation, differential equations, and algebraic methods with applications across multiple scientific domains.

Dr. Pogudin's primary research interests span several interconnected areas:

• Symbolic computation and computer algebra algorithms
• Theory and applications of differential and difference equations
• Nonlinear algebra and polynomial systems
• Structural identifiability of dynamical models
• Model reduction techniques for complex systems

His recent publications (2024-2025) demonstrate a strong focus on developing theoretical foundations for differential elimination, structural identifiability analysis, and model reduction. These works span applications in systems biology, epidemiology, pharmacology, and optics. Notably, his research bridges pure mathematical theory with practical computational implementations, creating tools that address real-world scientific challenges.

Dr. Pogudin has developed several significant software tools that implement his theoretical advances:

• StructuralIdentifiability.jl: A Julia package for assessing structural identifiability
• CLUE: Software for exact model reduction of ODE models via constrained lumping
• SIAN: Software for structural identifiability analysis of ODE models

His GitHub repositories contain numerous implementations of algorithms from his papers on differential elimination and related topics, demonstrating his commitment to making theoretical advances practically accessible to researchers across disciplines.