Efstratios Rappos

Rue de Galilée 15
1400 Yverdon-les-Bains
Par téléphone
+41 24 557 71 89


Efstratios Rappos is a post-doc researcher at HEIG-VD currently working in the area of data science for the development of "big-data" information-matching algorithms.

He studied Mathematics at the University of Cambridge (BA/MA) and obtained a  Masters in Mathematics (MMath/CASM/Part III)  from the same University.

He obtained his Ph.D. in Combinatorial Optimization (Operations Research) at the Business School of Imperial College London.  He also holds a MSc in Finance from Birkbeck College, University of London.

He has worked as a principal analyst responsible for leading a team of data scientists in the UK Department for Work and Pensions (DWP) developing mathematical models for large-scale data mining, automated cleaning, forecasting and economic modelling of social security data. He has also worked as a post-doc at Imperial College London and taught statistics at LSE.





My research interests include combinatorial optimization, mathematical modeling, integer programming, network design, natural language processing and algorithm design for Big data.