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Usama Zafar joins the lab! Welcome
PhD student in Scientific Computing focusing on Secure Federated Machine Learning Data Science
Open PhD position in Scientific Computing Applied Cloud Computing
Two Open PhD Positions Data Science
FedQAS: Federated machine reading comprehension based on FEDn Data-Intensive Computing

Usama Zafar joins the lab!

Posted on February 2, 2023February 2, 2023 By Prashant Singh No Comments on Usama Zafar joins the lab!
Usama Zafar joins the lab!

We warmly welcome Usama as a new PhD student in our group. He received his Bachelor’s Degree in Computer Software Engineering from National University of Sciences and Technology (NUST), Islamabad, Pakistan. He completed his Master’s Degree in Advanced Computing Science from Tsinghua University, Beijing, China. Usama has worked at Netsol Technologies for two years, focusing…

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Welcome

PhD student in Scientific Computing focusing on Secure Federated Machine Learning

Posted on May 11, 2022May 11, 2022 By Salman Toor No Comments on PhD student in Scientific Computing focusing on Secure Federated Machine Learning
PhD student in Scientific Computing focusing on Secure Federated Machine Learning

Project Description Artificial intelligence (AI) is at the core of modern-day applications. With the advent of massive datasets, the last two decades were dedicated to improve the mathematical modeling and training processes; And recently the focus has shifted towards security, privacy and trust based AI assisted solutions. Together with a number of other viable solutions,…

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Data Science, Data-Intensive Computing, Federated Learning, FedML, News, Open Positions

Open PhD position in Scientific Computing

Posted on May 3, 2022May 3, 2022 By Salman Toor No Comments on Open PhD position in Scientific Computing
Open PhD position in Scientific Computing

We have one open PhD position focusing on Cybersecurity and Machine Learning for Critical Infrastructures Application submission deadline: May 16, 2022 The application submission link is available on the following page: https://www.uu.se/en/about-uu/join-us/details/?positionId=501061 This PhD position is part of the eSSENCE – SciLifeLab graduate school in data-intensive science. The school addresses the challenge of data-intensive science both from…

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Applied Cloud Computing, Data Science, Data-Intensive Computing, News, Open Positions

Two Open PhD Positions

Posted on March 4, 2022April 2, 2022 By Prashant Singh No Comments on Two Open PhD Positions
Two Open PhD Positions

We welcome applications for 2 PhD positions in the group. This is an exciting opportunity to join us at SciLifeLab and the Division of Scientific Computing, UU to conduct highly interdisciplinary research in machine learning, computational science and systems biology. Please refer to the detailed advertisements below. Statistical Sampling/Active Learning for Large-Scale Scientific Experiments Machine…

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Data Science, News, Open Positions, systems biology

FedQAS: Federated machine reading comprehension based on FEDn

Posted on February 14, 2022February 14, 2022 By admin No Comments on FedQAS: Federated machine reading comprehension based on FEDn
FedQAS: Federated machine reading comprehension based on FEDn

Machine reading comprehension (MRC) of text data is a complex NLP problem with a lot of ongoing research fueled by the release of the Stanford Question Answering Dataset (SQuAD). It is considered to be an effort to teach computers how to “understand” a text, and then to be able to answer questions about it using…

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Data-Intensive Computing, Federated Learning, News, publication, Software

Proactive Autoscaling for Edge Computing Systems with Kubernetes

Posted on December 21, 2021December 21, 2021 By Salman Toor No Comments on Proactive Autoscaling for Edge Computing Systems with Kubernetes
Proactive Autoscaling for Edge Computing Systems with Kubernetes

Happy to announce our newly accepted article: Accepted at the 14th IEEE/ACM International Conference on Utility and Cloud Computing UCC 2021. Abstract With the emergence of the Internet of Things and 5G technologies, the edge computing paradigm is playing increasingly important roles with better availability, latency-control and performance. However, existing autoscaling tools for edge computing…

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Applied Cloud Computing, Data Science, Data-Intensive Computing, HASTE, News, Software

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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News, Uncategorized

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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/

Follow us on twitter

Andreas HellanderFollow

Andreas Hellander
Retweet on TwitterAndreas Hellander Retweeted
SciLifeLab_DCSciLifeLab_DataCentre@SciLifeLab_DC·
3 Nov

Join our great team at @SciLifeLab_DC!

We are now looking for IT-ansvarig SciLifeLab
👉Apply by Dec 12th.
👉More & apply here: https://www.kth.se/om/work-at-kth/lediga-jobb/what:job/jobID:546469/where:4/
👉More about @SciLifeLab_DC here: https://scilifelab.se/data

@scilifelab @KTHuniversity

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A_HellanderAndreas Hellander@A_Hellander·
25 Oct

Starting in 30mins :-)

Prashant Singh@prashant_rsingh

Join us tomorrow for an exciting seminar by @uPicchini on “guided sequential ABC schemes for intractable Bayesian models”. The seminar starts at 13.15 until 14.00 CEST in Room 101127, Ångströmlaboratoriet, Uppsala University & online: https://uu-se.zoom.us/j/65354024469. Warmly welcome!

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A_HellanderAndreas Hellander@A_Hellander·
6 Oct

eSSENCE, SERC and Chalmers e-science Centre are providing core e-science education to PhD students from the SeSE platform: https://sese.nu/

Researchers - get funding to develop and give a PhD course!
@uppsalauni @lunduniversity @umeauniversitet

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A_HellanderAndreas Hellander@A_Hellander·
6 Oct

Day two of the Swedish eScience Academy organized by eSSENCE.

Interesting to learn from Sverker Holmgren of Chalmers eCommons about the holistic approach to infrastructure and support for data centric research at Chalmers!

@UmeaUniversity @UU_University @lunduniversity

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A_HellanderAndreas Hellander@A_Hellander·
6 Oct

So great to be at the Swedish e-science Academy organized by #essenceofescience! Two days of scientific exchange between colleagues nationally, and in particular from the partner universities @UU_University @UmeaUniversity @lunduniversity.

Keynote day one by Kersti Hermansson.

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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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