Programme Manager, Environment & Sustainability
Dr. Niels Drost
Dr. Niels Drost studied Computer Science at the VU University Amsterdam, specializing on Computer Systems, and resulting in a Master degree in 2004. During his Ph.D. research he developed techniques and software aimed at making it trivial to use any available compute resource (including desktop machines, clusters, clouds, supercomputers, etc.) to run parallel applications on. His research resulted in the Zorilla P2P middleware system. He defended his Ph.D “Real-World Distributed Supercomputing” in 2010.
He was also one of the core developers of the Ibis project. The goal of the Ibis project is to make it possible for anyone requiring high-performance computing to use distributed systems with ease. With other members of the Ibis team he participated in and won a number of competitions at international computer science conferences, including first prize at the “IEEE International Scalable Computing Challenge” in both 2008 and 2010.
In 2010 Niels became a Postdoc at the VU University, continuing his work on high-performance distributed computing. He was a part-time guest researcher at the Leiden Observatory, in the Computational Astrophysics group of Prof. Simon Portegies Zwart. There, applied distributed computing techniques to the AMUSE computational astronomy simulation framework.
Niels joined NLeSC in 2011, as a eScience Research Engineer. As a (senior) engineer Niels has led technical work done in a number of projects and disciplines, including Astrophysics, Climate Sciences, Hydrology, and Archaeology. Among others, Niels was Co-PI of the eWaterCycle II project on the FAIRification of Hydrological modelling, worked on the IS-ENES3 project on Infrastructure for the European Network for Earth System Modelling, and was co-founder of the Netherlands Research Software Engineer Community (NL-RSE).
In 2021 Niels joined the Programme Management team of the eScience Center where he oversees the projects in the Environment and Sustainability section.
- Peer-to-Peer Computing
- Workflow Systems
- FAIR and Open Science