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Prashant Singh gives a talk in the Svedberg seminar series

Posted on October 14, 2021October 14, 2021 By admin No Comments on Prashant Singh gives a talk in the Svedberg seminar series
Prashant Singh gives a talk in the Svedberg seminar series

On Monday Oct 18, 2021 at 15:15 Prashant will give a talk in thee SciLifeLab The Svedberg seminar series. The talk will be about: “Scalable Likelihood-Free Parameter Inference of Stochastic Biochemical Reaction Networks”

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Adrien Coulier defends his thesis

Posted on September 13, 2021September 13, 2021 By admin No Comments on Adrien Coulier defends his thesis
Adrien Coulier defends his thesis

Adrien has successfully defended his PhD thesis Multiscale Modeling in Systems Biology: Methods and Perspectives! The Faculty opponent was Prof. Mark Chaplain, and the grading committee consisted of Prof Marija Cvijovic, Assoc. Prof. Kevin Sanft, and Assoc. Prof. Martin Kroenbichler, Big congratulations Adrien!

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Li Ju new PhD student to work on federated learning

Posted on September 6, 2021October 17, 2021 By admin No Comments on Li Ju new PhD student to work on federated learning
Li Ju new PhD student to work on federated learning

We are delighted to welcome Li Ju as a new PhD student in the group. Li has recently completed a Master degree in computer science and will work on algorithms and software for federated learning. Li is part of the Center for Interdiciplinary Mathematics graduate school, and in the project we will collaborate with industry…

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Prashant Singh appointed SciLifeLab Fellow in data-driven life science

Posted on September 1, 2021September 13, 2021 By admin No Comments on Prashant Singh appointed SciLifeLab Fellow in data-driven life science
Prashant Singh appointed SciLifeLab Fellow in data-driven life science

Prashant Singh has been awarded a SciLifeLab Fellow position and this returns as a PI to Uppsala and ISCL after a period as Assistant Professor in Computer Science at Umeå University! The fellowship is a tenure-track position and comes with a substantial startup package, and is a part of SciLifeLabs strategy to transform and expand…

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Challenges

Posted on November 2, 2019November 2, 2019 By admin No Comments on Challenges

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…. ……

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Anass and Stefan moves on to new adventures

Posted on September 4, 2019December 14, 2019 By admin No Comments on Anass and Stefan moves on to new adventures

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…

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Model exploration using active learning

Posted on October 27, 2016October 16, 2020 By admin No Comments on Model exploration using active learning
Model exploration using active learning

The exploration of a system described by a non-linear, high-dimensional and stochastic computational model is a fundamental problem in all scientific disciplines relying on modeling and simulation.  In this project we are interested in the scenario where a modeler has no or very limited prior knowledge about what type of qualitative interesting behavior the model…

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Back in Uppsala

Posted on July 5, 2013 By admin No Comments on Back in Uppsala

After two great years as a postdoc with Linda Petzold at UCSB, I am now back in Uppsala as a senior lecturer at the division of scientific computing, department of information technology. Candidates for PhD projects, master’s thesis projects and postdoc positions are more than welcome to contact me to discuss opportunities to join the…

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Data-and simulation-driven life science. Much of our work in eScience and applied ML has applications in life science, and in Systems Biology in particular. We aim to enable data-and simulation-driven scientific discovery.

HASTE - a cloud native framework for intelligent processing of image streams: http://haste.research.it.uu.se/

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Andreas HellanderFollow

Andreas Hellander
A_HellanderAndreas Hellander@A_Hellander·
11 May

Are you using StochSS? Please help us gather insights into what is working well and what can be improved by filling in this short survey https://forms.gle/mEqfASuUd3MDWuPS9

@LindaPetzold @briandrawert @mhucka

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A_HellanderAndreas Hellander@A_Hellander·
9 May

Apply to this PhD student position in the eSSENCE and SciLifeLab graduate school in data-intensive science!

This project is the intersection of cybersecurity and big data with main supervisor @sztoor.
https://www.uu.se/en/about-uu/join-us/details/?positionId=501061

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A_HellanderAndreas Hellander@A_Hellander·
28 Apr

PhD position in the eSSENCE/@scilifelab graduate school in data-intensive science with @cnettel: https://uu.se/en/about-uu/join-us/details/?positionId=501716 Apply and be part of a new interdiciplinary research effort @UU_University!

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A_HellanderAndreas Hellander@A_Hellander·
23 Apr

If you are a current user of StochSS please let us know your thoughts by filling out this brief user survey: https://forms.gle/3r836iph8gqFEpZX7

#systemsbiology #stochss @LindaPetzold @briandrawert @prashant_rsingh

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Retweet on TwitterAndreas Hellander Retweeted
AssistSweASSIST Sweden@AssistSwe·
14 Apr

Soon the partners in the ASSIST project will attend a workshop on federated learning arranged by Scaleout. Partners from different countries (Sweden, Belgium, Netherlands, Turkey) will contribute with nodes that train a segmentation network.

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Decentralized AI, Federated Learning. One focus area of the group is development of methods and software to address decentralized and privacy-preserving AI. We are core contributors to the FEDn open source framework for scalable federated machine learning:

https://github.com/scaleoutsystems/fedn
Introduction to Federated Learning by Andreas Hellander
Join the discussion on Decentralized AI:

Scaleout Systems is a spin-out from ISCL on a mission to enable decentralized AI and federated learning to production.

https://www.scaleoutsystems.com/

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