- Associate professor,
- Docent in Scientific Computing and Numerical Analysis
- Office Phone
- +46 18 471 27 54
- +46 18 51 19 25
- Mailing Address
- Scientific Computing
SE-751 05 Uppsala
- Visiting Address
Polacksbacken Building 2
Find me at the Mathematics Genealogy Project...
...at the Research Gate...
...at Google Scholar...
...the current faculty advisor
of UPPSALA SIAM
...the Convener of
Team in Scientific Computing...
...associated with the (previous!) Linnaeus center of
Uppsala Programming for Multicore Architectures Research
On the national side I am an elected member of
the Young Academy of
Sweden for the period 2016--2021. See
Latest news and upcoming activities
There are several openings for interesting and challenging projects
within the software
Suggestions include high-performance software development, advanced new
modeling, and improving simulation efficiency and flexibility, as well
as machine learning and data mining techniques. Precise suggestions
for projects suitable to MSc/BSc-theses can be formulated upon
- November 28--29: Academy meeting, Amsterdam.
More details can be
Spring 2018: Scientific Computing II 1TD395 (5.0hp).
Fall 2017:Advanced Numerical
Methods 1TD050 (10.hp)
Spring 2017: Scientific Computing II 1TD395 (5.0hp).
Fall 2016: Advanced Numerical
Methods 1TD050 (10.hp)
Spring 2016: Numerical methods in stochastic modeling and simulations (7.5hp, graduate
Spring 2016: Scientific Computing II 1TD395 (5.0hp).
Spring 2015: Scientific Computing II 1TD395 (5.0hp).
Fall 2014: Numerical Functional Analysis (5.0hp, graduate
Spring 2014: Finite element methods II 1TD254 (5.0hp).
Fall 2012: Finite element methods 1TD253 (5.0hp).
Spring 2012: Classic Articles in Numerical Analysis (7.5hp, graduate course).
Fall 2010: Finite element methods 1TD253 (5.0hp).
I am interested in Scientific Computing, in Numerical Analysis and
-Modeling, and in High-Performance Computing. My main focus of
applications has so far been in the Biosciences at broad, but I've
also taken an interest in Engineering applications, and in Data-driven
research. Current active research projects include fast event-based
models for spatial chemical kinetics and epidemics, modeling of living
cells, parallelism and efficiency in imaging with X-ray lasers, and
auto-tuning in CPU/GPU implementations of adaptive fast multipole
In case you are interested in doing a project work or a
MSc-thesis, please feel invited to contact me for further
Read more (including publications and talks).
- Please feel free to and use my software
(Matlab/C/Mex) under a very liberal license.
The software provided here includes a fairly wide range
of subroutines useful in research, computations and for
Please mail comments, suggestions, references,
criticism. Please do not send support questions.
- If a picture tells more than a thousand words
then a GIF-animation should tell at least a
SimInf and Data-driven epidemiological simulations:
URDME simulating stochastic spatial kinetics:
Surfactant in two-phase fluid flow (simulations by Minh Do-Quang):
Fibers in Stokes flow:
The master equation:
Autotuning (simulation by Marcus Holm):
Flow around airfoils (simulations by Paul Deglaire):
I am involved in teaching Tango at Tangogruppen