Principal Computer Scientist, Intelligent Systems Lab, Future Concepts Division
Maksym Zhenirovskyy has expertise in machine learning, optimization, and modeling for system design. The area’s research interests span from applying robust optimization algorithms to using modern Deep Learning for System Design. He worked with a wide range of technologies, including Python-based stack (NumPy, SciPy, Scikit-learn, Pandas, NetworkX), Deep Learning frameworks (PyTorch, TensorFlow), Julia, OpenCV, C/C++, and Golang.
Dr. Zhenirovskyy earned his Ph.D. and M.Sc. in Condensed Matter Physics from the National Technical University of Ukraine “Kyiv Polytechnic Institute.” Department of Mathematics and Physics. He has authored over 60 publications in Machine Learning, Optimization, Modeling, and Physics (including six issued patents and applications).
Key technologies
- Scientific software development
- Python scientific stack
- Deep Learning frameworks (PyTorch, TensorFlow)
- Julia
- Numerical optimization algorithms
