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...
...a member of the board of the Department of Information Technology...
...the current faculty advisor of UPPSALA SIAM Chapter...
...and I currently act as the Convener of the Teacher's Team in Scientific Computing...
...finally, I am associated with the Linnaeus center of excellence UPMARC, Uppsala Programming for Multicore Architectures Research Center, where I currently serve as a deputy member of the board.

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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