Szabolcs Barnabás

Szabolcs Barnabas
Subjects: Computer Science
Division: Numerical Sciences
Position: Module leader
Years: 2013-2014

Barnabás studied mathematics in Budapest and advanced computing in Bristol. He holds an MSc in Mathematics from the Budapest University of Technology and Economics and an MSc in Machine Learning from the University of Bristol. Between his two degrees, Barnabás worked as an associate at the Strats and Modeling department of Morgan Stanley Analytics Hungary Ltd., was a programmer at the National Innovation Office and co-wrote a scientific paper on Riemannian geometry. Barnabás enjoys coming up with new programming ideas, likes musical creativity and exercises regularly to keep in shape after spending a lot of time sitting in front of computers.