“Ten simple rules” for establishing a national scale OpenStack cloud e-infrastructure for science

The SNIC Science Cloud (SSC) team has published a paper in the 2017 conference on IEEE eScience.  SNIC Science cloud has been an infrastructure project run by the Swedish National Infrastructure for Computing (SNIC) with the purpose to assess if and how SNIC should offer cloud infrastructure to the scientific community. The project is now coming […]

We welcome Ben Blamey to the group!

We are thrilled to welcome Dr. Ben Blamey as a postdoc in the group. Ben will work on our SSF-funded HASTE project, with intelligent systems for setting up and managing information hierarchies in very large volumes of image data from microscopy, read mroe about Ben and the project here: Ben Blamey joins the team to […]

Stefan Hellander joins the lab

  We are delighted to have Stefan Hellander join the lab!  Stefan obtained his Ph.D. in scientific computing from Uppsala University in 2013, with the thesis “Stochastic Simulation of Reaction-Diffusion Processes”, advised by Prof. Em. Per Lötstedt. He then went on to work as a postdoc in the lab of Prof. Linda Petzold at UCSB, […]

Fredrik Wrede presented at MLSB 2017

Fredrik Wrede presented a poster titled “Smart systems for model exploration with application in computational systems biology” at the Machine Learning in Systems Biology  (MSLB) 2017 Workshop held as a special session of ISMB 2017, Prague, Czech Republic, on July 25, 2017.

Hierarchical Analysis of Spatial and Temporal Data

The HASTE project, a SSF-funded project on computational science and big data, takes a holistic approach to new, intelligent ways of processing and managing very large amounts of microscopy images to leverage the imminent explosion of image data from modern experimental setups in the biosciences. One central idea is to represent datasets as intelligently formed […]

HASTE is granted 29 MSEK funding from SSF

Our project Hierarchical Analysis of Spatial and TEmporal Data (HASTE) is granted 29 MSEK funding from SSF. The project, with PI Carolina Wählby  and co-PIs Andreas Hellander, Ola Spjuth and Mats Nilsson, will explore new ways to gain insight from massive amounts of spatial and temoral image data through hierarchical analysis models and smart cloud systems […]