Marko Seslija

Post Doc

Photo of Marko Seslija


My research focuses on modeling and analysis of emergent phenomena in complex networked systems. I am particularly excited by mathematical and engineering challenges lying on the intersection of data-driven system identification and computational neuroscience. The central question of my current research project in CoMo is probabilistic surrogate modeling of large-scale engineering systems.

Research Themes

  Theme icon

Recent Preprints

243: Deep Kernel Learning Approach to Engine Emissions Modelling

Changmin Yu, Marko Seslija, George Brownbridge, Sebastian Mosbach, Markus Kraft, Mohammad Parsi, Mark Davis, Vivian Page, and Amit Bhave, Technical Report 243, c4e-Preprint Series, Cambridge, 2019.

Contact Details

Telephone: +44 (0)1223 762785
Address: Department of Chemical Engineering and Biotechnology
University of Cambridge
West Cambridge Site
Philippa Fawcett Drive
Cambridge CB3 0AS
United Kingdom
Website: Personal Homepage