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), systems biology (Guet) and theoretical biophysics (Hannezo, Tkačik), to machine learning (Lampert), optimization (Kolmogorov), 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:
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