Short Bio

I am a data scientist in the Physics and Computational Sciences Division (PCSD) at Pacific Northwest National Laboratory, Richland, WA. My current research interests fall in the intersection of model-based optimal control, constrained optimization, and machine learning.

I have a PhD in Control Engineering from Slovak University of Technology in Bratislava, Slovakia, advised by Michal Kvasnica. My PhD thesis was on Model Predictive Control with Applications in Building Thermal Comfort Control. My MSc thesis was co-supervised by Johan Löfberg with the topic Efficient Modeling of Hybrid Systems. Before joining PNNL I was a postdoc at KU Leuven, Belgium, in the Thermal Systems Simulation research group led by Lieve Helsen. At KU Leuven I was working on the cloud-based implementation of model predictive control (MPC) in a real-world office building in Belgium. At PNNL I work with Draguna Vrabie on tighter integration of deep learning methods with MPC and control theory. My publications are available on Google Scholar or ResearchGate and my open source repositories can be found on my Github and Bitbucket. In my free time I do meditation and painting.