November 26, 2020
Zoom DAViS Information Event
Date: 26 November 2020
Time: 4.30 – 6.00 pm
They, as so many challenges in research, rely on efficient data analysis, simulations and visualization, to name just a few. Data Analytics, Machine Learning, Simulations, Big Data and Visualization – those and many more areas are covered by the newly established joint DAViS center, with the partners FHGR and SIAF collaborating. Both partners contribute with their respective expertise to foster the usage of modern data-driven scientific methods in the Grisons and beyond.
Apart from our own research projects, DAViS offers support, consultancy, and infrastructure for research and industry. To give you an idea of what we can do for you, we will present projects from such diverse topics as causes of eczema, flood prediction and behavioral studies, plus give insights on a very topical project on the analysis of COVID-19 hospital data:
• COVID-19 – working with clinical laboratory parameters of hospitalized patients that are positive or negative for SARS-CoV-2
• MLM-SOS-ALL – a SIAF project examining possible causes of atopic dermatitis (eczema) using RNA sequencing and questionnaire data
• Parallel Numerical Simulation – modern flood prediction using supercomputers
• Visual analytics and eye tracking – What can we learn from visual attention behavior?
The projects will be presented to you by our experts:
Katja Bärenfaller studied biochemistry at ETH Zurich (2000) and did her PhD in the Institute of Molecular Cancer Research at the University of Zurich (2005). In parallel to her postdoctoral project in the group of Plant Biotechnology at ETH Zurich she did a postgraduate Certificate in Bioinformatics. In her work as a leader of the Protein Dynamics and Regulation group at ETH Zurich (2010-2017) she investigated different aspects of gene expression regulation and earned her habilitation in 2016. She joined SIAF in 2017 as head of the Molecular Allergology Group. In her work, she uses proteomics, transcriptomics and translatomics data and integrates different omics and non-omics datasets. In 2018 she additionally became a group leader of the Swiss Institute of Bioinformatics, and she was involved in planning and implementing the DAViS center.
Marco Schmid studied Sport Science at the University of Basel. After having worked for some years in research, he switched topics and studied Environmental Science at ZHAW, which was the starting point for a second career in data science. After working for three years in a start-up company focused on data science, he joined the DAViS centre at the FHGR in Chur as a data scientist.
Ralf-Peter Mundani graduated in computer science at the Technical University of Munich TUM (2000) and earned his PhD in 2005 from the University of Stuttgart. In 2014, he finished his state doctorate (Habilitation) in computer science at TUM with the title “Interaction in high-performance computing scenarios” and was appointed as adjunct teaching professor in the same year. Furthermore, he was director of the Centre for Simulation Technology in Engineering at TUM (since 2007) and he also headed the research group “Efficient Algorithms” at the chair for Computation in Engineering at TUM (since 2009). In 2011, he stayed for half a year as visiting professor at the CEMSE Division at King Abdullah University of Science and Technology (KAUST), Kingdom of Saudi Arabia. Since October 2019, he supports the DAViS team at the FHGR.
Michael Burch studied computer science and mathematics at the Saarland University in Saarbrücken and earned his degree in computer science in 2004. He received his PhD from the University of Trier in the research areas of software engineering and information visualization in 2010. After that he worked for eight years as a postdoctoral researcher in the fields of visual analytics and eye tracking at the Visualization Research Center (VISUS) of the University of Stuttgart. From 2017 to 2020 he taught and researched as an assistant professor in the visualization group of Prof. Dr. Jarke J. van Wijk at the Technical University of Eindhoven (TU/e) in the Netherlands. His main research disciplines are information visualization, visual analytics, data science, and eye tracking. He joined DAViS at the FHGR in October 2020.
Heiko Rölke studied computer science at the University of Hamburg, where he graduated in 1999 and received his PhD in 2005. As a Post-Doc, he worked in several interdisciplinary projects together with sociologists, psychologists and natural scientists. In 2007 he worked as an interim professor at the Jacobs University in Bremen. From 2007 to 2017 he worked as a group leader for technology-based assessment at the DIPF research institute in Frankfurt, where he designed and implemented the computerization of world-wide assessment studies like the OECD studies PISA and PIAAC. Since 2017 Heiko works at the FHGR where he planned and implemented the new DAViS center.