Anna-Lena is an assistant professor in the Software Technology group at the Department of Information and Computing Sciences at Utrecht University. In her work she combines the areas of research software engineering and applied formal methods. Currently she focuses on automated composition of scientific workflows, FAIR software and computational science education.
Carlos Martinez Ortiz
Carlos works at the eScience Center, he has worked as an engineer in diverse projects in digital humanities and life sciences, developing expertise in natural language processing, linked open data and software sustainability. He is also a certified Software Carpentry instructor and is frequently involved in organising trainings.
Carlos obtained his PhD in Computer Science at the University of Exeter.
James leads the Research Software Engineering team of the Diagnostic Image Analysis Group. The RSE team provides tools, advice and training on how to develop scientific software, and is responsible for the translation of algorithms from DIAG to the clinic. James joined DIAG in October 2015 and worked on the Automation in Medical Imaging (AMI) project, in collaboration with Fraunhofer Mevis. He holds a PhD in Medical Imaging from the University of Oxford. Prior to joining RadboudUMC he worked as a Software Developer for Philips Healthcare.
Albert Meroño-Peñuela is a postdoctoral researcher at the Knowledge Representation & Reasoning Group of the Vrije Universiteit Amsterdam. He studies the construction of and access to cultural knowledge bases, and their role in human and artificial processes. His interests include knowledge graphs, Linked Data, APIs and Web query languages. He is involved in CLARIAH, the largest research infrastructure for Humanities in the Netherlands, and serves in the CLARIAH Technical Board as coordinator of the LOD Interest Group. Find out more at Albert’s website and Twitter
Thomas Pronk develops and consults on technology for psychological research. He is interested in mental chronometry, which is making inferences about the mind based on how fast it responds. This interest involves research software engineering and behavioral data science, with special considerations for the circumstances under which data is collected. His main employer is the University of Amsterdam, Faculty of Social and Behavioural Sciences. On the side, he does community gardening and a Ph.D. in mental chronometry via the internet. Find out more at https://thomaspronk.com
Ben van Werkhoven
Ben van Werkhoven holds a PhD in High-Performance Distributed Computing, specifically GPU Computing. He works as an Senior Research Engineer at the Netherlands eScience Center, where he is the leading GPU Computing expert. Ben is also a co-founder of NL-RSE.
Past Core Team members
- Maria Cruz, VU University Amsterdam
- Niels Drost, Netherlands eScience Center
- Vahid Garousi, Wageningen University & Research
- Ben van Werkhoven, Netherlands eScience Center
- Susan Branchett, Delft University of Technology
- Mateusz Kuzak, Netherlands eScience Center