August 2024 SSC Fellows 2024
After a competitive round of applications, four SSC Fellows have been selected. These Fellows will receive mentoring and training by the SSC for the period of one year, as well as participate in an RSE conference to present their work.
The Fellows are current PhD students and Postdocs at Heidelberg University, and spend a substantial amount of their time on creating research software, to carry out their research. To support their careers, the SSC will provide feedback and guidance in the research software engineering process. This support will aid the creation of efficient, sustainable, maintainable and reusable research software, as an integral part of the Fellow’s academic achievements. Further, the connection to the SSC will extend the Fellow’s academic identity profile with the attribute of a Research Software Engineer.
Chris Byrohl is a Postdoc in the astrophysics lab of Dr. Dylan Nelson. Chris is the developer of the scida package, a Python package for reading and analyzing large scientific data sets. Scida is currently focused on supporting the astrophysics community with the analysis of simulation and survey data. Dask scales with available hardware from individual machines to HPC clusters – and soon into the cloud.
Solène Gerwann is a PhD student in sport psychology in the group of Prof. Plessner, studying stress and coping in extreme sports using Virtual Reality. To this end, Solène is developing a VR paradigm in Unity complemented with an interface for researchers. The software is intended to become available for re-use in the broader field of sports sciences.
Stefan Maurer is a PhD student in the group “Biophysical Engineering of Life” by Prof. Göpferich. Stefan is developing a novel image-based cell sorting technique in which a microscope autonomously detects and targets desired and undesired cells. The software is written in Python and uses the Zeiss API and image analysis pipelines for cell classification, depending on the selected task, and is intended to be published for broader re-use.
Anna Lena Schaible is a PhD student in the computational astrophysics and machine learning lab of Dr. Tobias Buck. Anna Lena is working on a virtual telescope software to generate mock observational data from simulation data. The intended software package RUBIX is written in Python and will leverage JAX for GPU acceleration and differentiability. RUBIX has already attracted interest in the astrophysics community for further use.
