Dr. Ekaterina Vladislavleva

DataStories is advanced analytics software for engineers. Engineers without data science background can start doing advanced analytics themselves. Immediate results enable quick understanding of new processes with many factors. Interpretable data-driven models support explainability and validation by domains experts (explainable AI). Resulting stories are shareable with business stakeholders and are the fastest entry into digital R&D, virtualisation, and building data literacy and data science capability

Research and teaching (graduate and postgraduate) on global optimisation methods, data-driven modeling, numerical linear algebra, numerical methods, symbolic regression and variable selection

Doctorate thesis for the Dow Chemical Company R&D. Advanced predictive analytics, evolutionary computation, symbolic regression, data-driven modeling methods.

Data-driven modeling, signal analysis, dynamic programming, optimisation

Mathematical theory of intelligent systems, Complex systems modeling