Integrative Scalable Computing Laboratory
A research group at the Department of Information Technology, Uppsala Universtity.
It is great to be able to welcome Addi-Ait Mlouk to the lab! Addi will work in our project scalable federated machine learning. This postdoc project is part of an eSSENCE initiative is connected to the new cross-disciplinary effort AI4Research at Uppsala University, with the aim to specifically support this effort by research on new e-Science methods…
Read More “Addi Ait-Mlouk joins the lab as postdoc focusing on FedML” »
We have opportunities for a number of MSc thesis students to work with the group in the spring semester 2020. Artificial intelligence is rapidly transforming our society. Machine learning models will be in every digital system we use, and it is imperative that we protect the integrity of data owners. In this project we work…
Read More “MSc thesis opportunities in privacy-preserving Machine Learning” »
The practical problems that arise when going from simple models to big models include: Most simulation algorithms do not scale well to high dimensions. Simulation can becomes prohibitively expensive due to the multiscale nature of systems. Failure of traditional engineering methodology such as sensitivity analysis and optimization due to high dimensionality, non-linearities and stochasticity…. ……
It is with mixed feelings that we say goodbye to Stefan and Annas. Both have contributed with lots of energy and science to the group, but will now move on. Stefan to a role in industry, and Anass to an assistant professorship at Ecole Centrale Casablanca. You will both be missed, and thank you so…
Artificial intelligence is rapidly transforming our society. Machine learning models will soon be in every digital system we use. For this reason, there is an urgent need for methods and software that allows for development of state-of-the art ML models while protecting the integrity of data owners . In this project we work on algorithms,…
We currently have MSc projects available in the area of multicellular systems biology. Interested students are encouraged to contact us to learn more about the opportunities. Msc project in bone remodeling
A new semester has just started, and there is no better way to kick it off than to welcome a new group member! Anass Bouchnita has joined us for to do a postdoc in computational systems biology. He will work on multiscale methods for multicellular modeling and simulation, in a collaboration with Igor Adameyko at…
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 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…
We are welcoming Lovisa Lugnegård to the group this semester. Lovisa will be doing a MSc thesis project of relevance to the HASTE project. She will design and prototype a cloud-based simulator capable of streaming already generated microscopy data, varying a wide range of parameters and emulating realistic scenarios when running high-content imaging platforms.
