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Ekaterina Krymova
Ekaterina Krymova

Ekaterina Krymova

Lead Data Scientist
Academia
(Alumni)

Ekaterina received her PhD in Computer Science from Moscow Institute for Physics and Technology, Russia. Afterwards, she worked as a researcher at the Institute for Information Transmission Problems in Moscow and later as a postdoctoral researcher in the Stochastic Group at the Faculty of Mathematics at University Duisburg-Essen, Germany. She has experience with various applied projects on signal processing, predictive modelling, macroeconomic modelling and forecasting, and social network analysis. She joined the SDSC in November 2019. Her interests include machine learning, non-parametric statistical estimation, structural adaptive inference, and Bayesian modelling.

Projects

MLIBRA

In Progress
Mouse LIpid Brain Atlas

CHEMSPEC

In Progress
Cost-effective chemical speciation monitoring of particulate matter air pollution

PAIRED-HYDRO

In Progress
Machine learning for the components fatigue prediction in hydropower generation

MUTIGER

In Progress
MUTations, Interactions and GEne Regulation
Biomedical Data Science

ML4FCC

In Progress
Machine Learning for the Future Circular Collider Design
Big Science Data

AURORA

In Progress
From air pollution sources to mortality
Biomedical Data Science
Energy, Climate & Environment

PolyNet

Completed
Exploring disease trajectories and outcome prediction using novel methods in network analysis and machine learning
Biomedical Data Science

COVID-19

Completed
Epidemic Forecasting
Biomedical Data Science
Big Science Data
Digital Administration

PACMAN LHC

Completed
Particle Accelerators and Machine Learning
Big Science Data

EconMultiplex

Completed
Multiplex Networks in International Trade
Digital Administration

Publications

Mentioned in

Case Studies

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