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Addi Ait-Mlouk joins the lab as postdoc focusing on FedML

Posted on September 22, 2020September 22, 2020 By admin No Comments on Addi Ait-Mlouk joins the lab as postdoc focusing on FedML
Addi Ait-Mlouk joins the lab as postdoc focusing on FedML

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…

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FedML, News

MSc thesis opportunities in privacy-preserving Machine Learning

Posted on November 10, 2019November 10, 2019 By admin
MSc thesis opportunities in privacy-preserving Machine Learning

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…

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Applied Cloud Computing, FedML, News, Open Positions

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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Uncategorized

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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News, Uncategorized

Highly Scalable Federated Machine Learning

Posted on March 23, 2019August 21, 2020 By admin No Comments on Highly Scalable Federated Machine Learning
Highly Scalable Federated Machine Learning

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,…

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ReserachSlider

MSc projects available in multicellular systems biology

Posted on May 23, 2018May 23, 2018 By admin No Comments on MSc projects available in multicellular systems biology

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  

mscprojects, Multiscale methods, News, systems biology

Anass Bouchnita joins the lab

Posted on January 9, 2018 By admin No Comments on Anass Bouchnita joins the lab
Anass Bouchnita joins the lab

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…

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Multiscale methods, News, systems biology

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

Posted on December 2, 2017December 2, 2017 By admin No Comments on “Ten simple rules” for establishing a national scale OpenStack cloud e-infrastructure for science
“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…

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Applied Cloud Computing, Data Science, Data-Intensive Computing, News, OpenStack

We welcome Ben Blamey to the group!

Posted on October 5, 2017 By admin No Comments on 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…

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HASTE, News

Lovisa Lugnegård has started a MSc thesis project within the HASTE project

Posted on August 23, 2017 By admin No Comments on Lovisa Lugnegård has started a MSc thesis project within the HASTE project
Lovisa Lugnegård has started a MSc thesis project within the HASTE project

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.

HASTE, News

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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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yannik_schaelteYannik Schälte@yannik_schaelte·
9 Jun

🎒Summer school: 𝐈𝐧𝐯𝐞𝐫𝐬𝐞 𝐩𝐫𝐨𝐛𝐥𝐞𝐦𝐬 𝐟𝐨𝐫 𝐦𝐮𝐥𝐭𝐢-𝐬𝐜𝐚𝐥𝐞 𝐦𝐨𝐝𝐞𝐥𝐬

💬With: Linda Petzold, Christiane Fuchs, @dennisprangle, @StefanEngblom, @A_Hellander

⏰August 22-26
📌@HCM_Bonn

✏️Details+register: http://www.hcm.uni-bonn.de/events/eventpages/hausdorff-school/hausdorff-schools-2022/inverse-2022/

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A_HellanderAndreas Hellander@A_Hellander·
25 May

Really enjoyed presenting our work on federated learning with FEDn at CCGRID22 last week. Some takeaways from the talk (1/3):

1. Algorithm development must have real-world scalability in mind and there is a risk in missing this aspect if only considering simulation of FL.

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A_HellanderAndreas Hellander@A_Hellander·
25 May

Such a beautiful paper put together by @adameykolab, and one of the most fun applications of fluid mechanics modeling I have seen in recent years @AnassBouchnita @MurtazoNazarov. Thanks for the collaboration!

Igor Adameyko@adameykolab

After a long struggle, failed revision in Science, loads of happiness and pain, our paper on surface-associated water streams integrating polyps into a coral colony, is out in Current Biology. https://www.cell.com/current-biology/fulltext/S0960-9822(22)00672-8?fbclid=IwAR0j5TqfenF0_tp1hDam43K6jdfWS9iw16OzGVHZsVZ89eDe0Yq8Aa-ykuY#%20 1/10

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Retweet on TwitterAndreas Hellander Retweeted
adameykolabIgor Adameyko@adameykolab·
14 May

After a long struggle, failed revision in Science, loads of happiness and pain, our paper on surface-associated water streams integrating polyps into a coral colony, is out in Current Biology. https://www.cell.com/current-biology/fulltext/S0960-9822(22)00672-8?fbclid=IwAR0j5TqfenF0_tp1hDam43K6jdfWS9iw16OzGVHZsVZ89eDe0Yq8Aa-ykuY#%20 1/10

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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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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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