Principal investigator or co-investigator on multiple research projects including but not limited to Gigacow project, HASTE project, SustAinimal project, etc.; Over 15 years of teaching experience in different international institutions, has designed and developed both masters and PhD level courses in the field of distributed computing infrastructures.
Research Experience
Employed as a researcher in the Department of Information Technology, Uppsala University and as a senior cloud architect at Swedish National Infrastructure for Computing (SNIC) from 2015-2017; Currently co-chair of the Scientific Machine Learning (SciML) research group at Uppsala University; Co-founder and CTO at Scaleout Systems AB; One of the lead architects of the FEDn framework.
Education
Masters and PhD in Scientific Computing from Uppsala University. Completed postdoctoral research from CMS program, Helsinki Institute of Physics, Finland in 2014.
Background
Research Interests: Distributed computing infrastructures, Federated machine learning, System scalability and performance; Professional Field: Scientific Computing; Brief Introduction: Associate Professor in Scientific Computing at Uppsala University, an expert in the field of distributed computing infrastructures and applied machine learning.