Integrative Scalable Computing Laboratory

ISCL is a research group at the Department of Information Technology at Uppsala University. PIs Andreas Hellander and Salman Toor.

Stochastic simulation

We often use stochastic descriptions to model complex systems. Many of our projects involve kinetic Monte Carlo, agent-based models and multiscale modeling. A reoccurring theme is how to leverage distributed e-infrastructure for simulations and how to use machine learning to construct approximations.

Artificial intelligence

A core theme in the group is the use of machine learning to make scientific computing software and infrastructure more efficient, interactive and scalable. We also do disciplinary research in specific areas of ML, such as likelihood-free inference and privacy-preserving federated machine learning.

Distributed computing

Our research in distributed computing and data engineering sciences ranges from development of new ways to manage large and fast data to design and development of massively parallel, interactive, cloud native applications operating in cloud, fog and edge infrastructure.

Featured projects

Federated Machine Learning

Federated Machine Learning

Artificial intelligence is rapidly transforming our society. Machine learning models will be components in nearly 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...


The group participates in the eSSENCE strategic initiative on eScience, focusing on eScience tools and technologies.

Scaleout Systems

Scaleout Systems is a spin-off from the group, focusing on privacy-preserving AI and cloud-native machine learning.

Follow us on twitter

Really proud of Adrien Coulier who nailed his thesis, Multiscale Modeling in Systems Biology: Methods and Perspectives! Now we are looking forward to the public defense in September.

Here's an opportunity to learn about federated learning in an hands-on workshop. Sign up below!

#ml #ai #machinelearning

Congratulations to @FredrikWrede who successfully defended his PhD thesis @uppsalauni! Thank you for these years and best of luck with your next steps!

Big thank you to the faculty opponent @ramon_grima and the grading committee @ruth_baker @uPicchini @matmagnani!

Newly released expert opinion on the machine learning life cycle and the cloud. Also how federated learning can contribute toward enabling collaboration within and between organizations.

#ai #machinelearning #fedml

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