Evgenij joined EPCC in 2019 to work on the ASiMoV project with focus on profiling and tuning performance and scalability of large-scale multi-physics simulations, virtual certification, and Exascale Computing.
Previously he worked on several DataLab projects with SMEs: using Machine Learning for catergorisation and tagging of financial transactions (with The IDCo) and using MATLAB Distributed Compute Server to optimise a financial backtesting pipeline (with Aberdeen Standard Investments).
Evgenij holds a Dipl. Inf. from Humboldt University Berlin and a PhD in Computer Science from Heriot-Watt University, having worked on distributed sparse matrix multiplication and on improving dynamic scheduling using work stealing in a distributed runtime system for parallel Haskell. He is an Associate Fellow of the Higher Education Academy and a certified Software and Data Carpentry instructor helping build the local Edinburgh Carpentries community.