Gleb Pogudin
- PhD in Mathematics from Moscow State University in 2016;
- Postdoc in Johannes Kepler University (Linz, Austria) in 2016-2017 and in New York University in 2017-2019;
- Assistant Professor in Computer Science at the Higher School of Economics (Moscow) in 2019-2020
- Since 2020: Assistant Professor in Computer Science at École Polytechnique, Institute Polytechnique de Paris
Research interests: symbolic computation for differential and difference equations
Intervention
02/10
15:30
10minutes
Dynamical model analysis with StructuralIdentifiability.jl
Gleb Pogudin
When using parametric dynamical models with partial observations, one important task is to infer the parameter values and the states from the measurement data. One of the obstacles to a successful estimation can be the lack of structural identifiability. This means that an unambiguous estimation is impossible due to the very structure of the model, regardless of the quality and quantity of data. We will present StructuralIdentifiability.jl, a Julia package capable of detecting identifiability issues, exploring their nature, and suggesting model transformation improving identifiability.
SciML
Amphithéâtre Jean-Baptiste Say