In TESla lab I was working on a data-driven turbulence modeling using an Approximate Bayesian Computation (ABC) approach.
I’m interested in Data Analysis, Bayesian statistics, Machine Learning and how they can be used to
improve turbulence simulations.

Before joining TESLa I worked on dynamical mesh adaptation algorithms for unstructured meshes
(moving meshes) in the Computational Aeroacoustic Laboratory (CAA lab) at the Keldysh Institute of Applied Mathematics (RAS).

I received my B.S. and M.S in Applied Mathematics and Physics from the Moscow Institute of Physics and Technology
(MIPT, Phystech). During my thesis research practice in the CAA lab I studied the problem of acoustic scattering
by an isolated vortex and sound radiation by a perturbed Rankine vortex.

### Projects

Turbulent flows### Interests

- Turbulence modeling
- Machine learning
- Data analysis
- Statistics

### Education

M.S./Ph.D. in Mechanical Engineering, 2020

University of Colorado, Boulder

M.S. in Applied Mathematics and Physics, 2014

Moscow Institute of Physics and Technology

B.S. in Applied Mathematics and Physics, 2012

Moscow Institute of Physics and Technology