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Anass Bouchnita joins the lab

Posted on January 9, 2018 By admin No Comments on 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 Karolinska Institute and Vienna Medical University in which we model systems in development driven by cell-lineage tracking data. The position is largely funded by the eSSENCE collaboration on eScience.

Anass Bouchnita received his Engineerโ€™s and PhD degree in Modelling and Scientific Computing from the Mohammadia School of Engineering. He also obtained a PhD degree from Claude Bernard Lyon 1 University. He works on the development of novel mathematical models that simulate complex physiological systems. His research interests include reaction-diffusion systems, multiscale cell-based models, PK-PD modelling, and their various applications in biomedicine.

Welcome Anass!

Multiscale methods, News, systems biology

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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 Schรคlte@yannik_schaelte·
9 Jun

๐ŸŽ’Summer school: ๐ˆ๐ง๐ฏ๐ž๐ซ๐ฌ๐ž ๐ฉ๐ซ๐จ๐›๐ฅ๐ž๐ฆ๐ฌ ๐Ÿ๐จ๐ซ ๐ฆ๐ฎ๐ฅ๐ญ๐ข-๐ฌ๐œ๐š๐ฅ๐ž ๐ฆ๐จ๐๐ž๐ฅ๐ฌ

๐Ÿ’ฌWith: Linda Petzold, Christiane Fuchs, @dennisprangle, @StefanEngblom, @A_Hellander

โฐAugust 22-26
๐Ÿ“Œ@HCM_Bonn

โœ๏ธ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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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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