FONDA

FONDA investigates methods for increasing productivity in the development, execution, and maintenance of Data Analysis Workflows for large scientific data sets. We approach the underlying research questions from a fundamental perspective, aiming to find new abstractions, models, and algorithms that can eventually form the basis of a new class of future infrastructures for Data Analysis Workflows.

Fabian Lehmann
Fabian Lehmann
Ph.D. candidate

My research interests include distributed systems, scientific workflows, and their scheduling.