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.




  • Télétrafic 2017 (TTR)


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