Data Science & Scientific Computing (DSSC) at IST Austria comprises the most interdisciplinary track in the PhD program.
Topically, faculty in this track work on a diverse set of problems, ranging from mathematical models of evolution (Barton), bioinformatics (Vicoso), medical genomics (Robinson), systems biology (Guet) and theoretical biophysics (Hannezo, Tkačik), computational neuroscience (Vogels), to machine learning (Lampert), data science and information theory (Mondelli), computational fabrication (Bickel) and physics simulation (Wojtan). Common to these topics — and emphasized as the focus of the track — is the development and use of advanced data analysis methods, numerical simulation, and statistical inference to address complex and data-intensive problems in sciences and engineering.
COMPLETE DSSC RESEARCH GROUP DETAILS ON IST AUSTRIA’S MAIN SITE:
- Distributed Algorithms and Systems
- Evolutionary Genetics
- Computer Graphics and Digital Fabrication
- Systems and Synthetic Biology of Genetic Networks
- Physical Principles in Biological Systems
- Machine Learning and Computer Vision
- Data Science, Machine Learning, and Information Theory
- Theoretical Biophysics and Neuroscience
- Medical Genomics
- Sex-Chromosome Biology and Evolution
- Computational Neuroscience and Neurotheory
- Computer Graphics and Physics Simulation