Postdoc in Scientific Computing/Applied Cloud Computing

We are looking for a talented individual to join our efforts on creating smart and scalable cloud services to support simulation-driven scientific discovery via large-scale computational experiments such as parameter sweeps. This is a classic and very important problem that we will approach in new ways, leveraging recent advances in cloud computing, data-intensive computing and machine […]

Göran Gustafsson prize

Last week brought some great news. I am awarded the Göran Gustafsson Prize 2016 from the Gustafsson Foundation (KTH/UU). In the proposed project titled Smart Services for Scientific Discovery we will look into new and more productive ways to combine simulation software and cloud computing infrastructure to build intelligent applications for e.g. exploring an underlying model’s essential […]

At Isaac Newton Institute

I will be spending Feb 15-March 17 at the Isaac Newton Institute, Cambride, UK, for a program on Stochastic Dynamical Systems in Biology: Numerical Methods and Applications. Big thanks to the organizers,Radek Erban (Oxford), David Holcman (ENS – Paris), Samuel Isaacson (Boston) and Konstantinos Zygalakis (Southampton) for organizing this amazing opportunity to gather many creative people in […]

Open Posititions: up to two PhD students

(Call for applications is closed. ) We are expanding the group with up to two PhD students in the areas of Applied Mathematics and Applied Cloud Computing: CIM, the Center for Interdisciplinary Mathematics are hiring students.  We are, in collaboration with the Spjuth lab offering the project, Smart and Efficient Scientific Software for Exploration of Vast Amounts […]

VR Young Researcher Grant

Hellander recently received the VR Young Researcher grant, for a project titled: From Single Cells to Cancer Tumors: Multiscale Simulation of Multicellular Systems. This means that we will be expanding the group with another PhD student in early 2016. Interested candidates are encouraged to contact me to discuss opportunities.

StochSS 1.6 is now officially released!

New capabilities of Version 1.6 include: Spatial visualization now supports animation, wireframe rendering, and mesh slicing FlexCloud: run ‘cloud’ jobs on dedicated hardware (in addition to using EC2) Import SBML models Many bug fixes and stability enhancements Details and instructions on how to obtain the code can be found on the Download page Tutorials are […]

StochSS 1.4: Introducing Spatial Stochastic Modeling and Simulations

We are excited to announce the release of StochSS 1.4 Version 1.4 includes spatial stochastic simulation capabilities powered by  PyURDME (http://www.pyurdme.org/). Details and instructions on how to obtain the code can be found on the Download page Tutorials are available on the Documentation page Linda Petzold and Chandra Krintz – University of California Santa Barbara Per Lotstedt and Andreas Hellander – Uppsala […]