January 9, 2023 - by CSCS

Siddhartha Mishra

Full Professor for applied mathematics, ETH Zurich

ETH Zurich


  • 2003-2005 PhD, Indian Institute of Science-Tata, Bangalore, India
  • 2005-2009 Postdoc, University of Oslo, Norway
  • 2009-2011 Assistant Professor, ETH Zurich
  • 2011-2012 Associate Professor, University of Oslo, Norway
  • 2012-Present Professor, ETH Zurich

Area of research
Numerical analysis, scientific computing, machine learning.

Specialised in
Design and Analysis of algorithms for scientific simulations.

HPC means for me
The main resource to test my algorithms in different settings and to discover interesting and unexpected facets of the system being studied.

“Piz Daint” to study 3D compressible flows

We are using “Piz Daint” to compute statistical solutions for compressible fluids. These mathematical objects are probability measures in infinite dimensions that model all possible multipoint correlations of the flow and describe uncertainty propagation in turbulent fluid flows. We run an optimized, high-resoution, finite volume code (ALSVINN) on “Piz Daint” to compute statistical observables such as mean, variance, structure functions, etc., for three-dimensional compressible turbulent flow to discover interesting qualitative and quantitative properties of these solutions.