Stefan Engblom’s personal web-page

I am…
…the Program chair of Applied Scientific Computing
…the Director of eSSENCE
…a SciLifeLab Group Leader
…coordinating the TDB Seminar Series
…the current faculty advisor of UPPSALA SIAM Chapter.

Find me at the Mathematics Genealogy Project.

Research

I am particularly interested in Scientific Computing in the intersection with Data-driven research and Data Science. I have extensive experiences in many aspects of Scientific Computing in general, in Numerical Modeling and -Analys in particular, as well as to some extent in High-Performance Computing. My main focus of applications are in the Biosciences at broad, but I’ve also taken an interest in traditional computational Engineering applications.

Current active research projects include Bayesian approaches for compute intensive data-driven models in epidemics, including in particular prediction, and multiscale modeling and parameterization of living cells, where spatial stochasticity is an important aspect of the modeling.

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


Open project proposals:

Postdoc in Computational Epidemiology

Fully funded Postdoc position in Computational Science, specifically in Bayesian Epidemiology. The proposed project consists of two parts:

  • developing Neural Network techniques to use in the construction of priors,
  • developing diagnostic techniques suitable to simulation-based inference.

See the short project description for a bit more on this. The formal application form can be found here.

Please apply using the online application system linked above. Application deadline 31st of October 2025. Candidates with a relevant background are more than welcome to contact me for any informal queries.

Computational Epidemics driven by Data
In this line of research we are interested in the trade-offs between data and detailed so-called mechanistic models. The application focus is in epidemics and concerns modeling under uncertainties and supporting risk-based decisions. Part of the work will be done in URDME.

More details can be found here.

Computational cell population models: multiscale and multiphysics modeling
There are three suggested openings for projects within the software framework URDME. Suggestions include advanced new modeling, improving simulation efficiency and flexibility, as well as mathematical analysis.

More details can be found here.


Latest publications 2025

See also: my Google Scholar profile, or DiVA records for Author: Stefan Engblom. Alternatively, list of publications as a pdf.

  • E. Blom, S. Engblom: DLCM: a versatile multi-level solver for heterogeneous multicellular systems
    • Available via arXiv.
    • Reproduce the numerical experiments using URDME.
  • G. Menz, S. Engblom: Modelling Population-Level Hes1 Dynamics: Insights from a Multi-Framework Approach
    • In Bull. Math. Biol 87(6):74 (2025) (doi).
    • Available via arXiv.
  • E. Blom, S. Engblom, G. Menz: Modeling the hallmarks of avascular tumors
    • Available via arXiv.
    • Accepted for publication in ENUMATH 2023 (2025)

Latest news and activities 2025