Uppsala universitet UPMARC 
Stefan Engblom
Short CV: (pdf)
Publications: (pdf)

Stefan Engblom

Stefan Engblom
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
Information Technology
Box 337
SE-751 05 Uppsala
Visiting Address
Polacksbacken Building 2
Room 2414a
         Find me at the Mathematics Genealogy Project...
...at the Research Gate...
...at Google Scholar...
...at ORCID....
...at arXiv...
...at GitHub.

I am...
...the current faculty advisor of UPPSALA SIAM Chapter...
...the Convener of the Teacher's Team in Scientific Computing...
...associated with the (previous!) Linnaeus center of excellence UPMARC, Uppsala Programming for Multicore Architectures Research Center.

On the national side I am an elected member of the Young Academy of Sweden for the period 2016--2021. See my presentation web-page there.

Swedish Young Academy

Latest news and upcoming activities

Open project proposals:
Computational cell population models: multiscale and multiphysics modeling

There are several openings for interesting and challenging projects within the software framework URDME. 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 request.
More details can be found here.


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 course).
Spring 2016: Scientific Computing II 1TD395 (5.0hp).
Spring 2015: Scientific Computing II 1TD395 (5.0hp).
Fall 2014: Numerical Functional Analysis (5.0hp, graduate course).
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 methods.

In case you are interested in doing a project work or a MSc-thesis, please feel invited to contact me for further discussions.

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 fun.

Please mail comments, suggestions, references, criticism. Please do not send support questions.

Download here.


If a picture tells more than a thousand words then a GIF-animation should tell at least a million...

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 Cambalache.


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