Yousra El-Bachir

Yousra El-Bachir

Sr. Data Scientist

Yousra studied Mathematics and Computational Statistics. She did a PhD in Statistical Learning followed by a post-doc both at EPFL, where she developed empirical Bayes methods for automatic L2 regularization problems in smooth regression for big data. Before joining SDSC, she worked at SIB/UNIL, where she developed a statistical optimization solution to the parent-of-origin identification problem in human genetics. Her technical expertise includes supervised learning, numerical optimization for machine learning, statistical modeling and methodology, high-performance and distributed computing for big data, Bayesian computation and time series analysis. She worked on applied problems in quantitative finance and environmental sciences.



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


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