Accelerator physicist from 🇪🇸 doing machine learning @KITKarlsruhe, previously @CERN @EPFL
Karlsruhe, Germany
Joined March 2013
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This Q1 our team is really on the road teaching and giving machine learning tutorials all over! 👩🏻🏫 It was a pleasure to come back to the Deep Learning School organized by @ErUMDataHub and give an introduction course about neural networks
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On February 5-7 2024 we hosted the 2nd Reinforcement Learning for Autonomous Accelerators in Salzburg 🎉 ! It was splendid to see how this community is growing, and I am delighted that we could provide some interesting content, including the tutorial on meta RL.
We recently submitted a review paper on applying Bayesian optimization methods in particle accelerators!
arxiv.org/pdf/2312.05667.pdf
Join us next year to learn about neural networks! I'll be teaching the introductory lecture :)
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If you are interested in knowing more about machine learning applied to accelerators you can have a look at our new publication: fls2023.vrws.de/papers/th3d3…
This is just a teaser, review papers are coming 📖
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We have a new postdoc position open to work with Prof. De Carne and me in the field of machine learning and energy efficiency for accelerators. Have a look!
linkedin.com/jobs/view/36904…
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The AI4Accelerators team of KIT participated in the AI Hero Hackathon 2023!!
We joined the research field Energy, and the goal was to tune a Mask R-CNN model to identify thermal leaks from images of buildings in Karlsruhe
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Our new paper on Bayesian optimization to improve the injection efficiency of a particle accelerator is out! Check it out journals.aps.org/prab/pdf/10…
@crkesu
I am so grateful for all the people that came together at the 1st collaboration workshop on Reinforcement Learning for Autonomous Accelerators!
We hosted it at @KITKarlsruhe at the Institute of Beam Physics and Technology, where a very nice community of reinforcement learning enthusiasts from all around the world met to showcase their work and discuss the present and future of the field
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Some pics from the AI Hub Karlsruhe event! I loved discovering the huge potential of ML in other fields (such as healthcare, brilliant keynote by @AnalogAldo, food for thought!). It was also fun to discover that everyone loves Bayesian optimization, regardless of the field 🤓
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If you are in the Karlsruhe region, interested on how AI is broadly used in science, and looking to meet people in the topic come join us at ai-hub-karlsruhe.github.io/! @KITKarlsruhe
Thank you @ErUMDataHub for inviting me to give the keynote on reinforcement learning! Such an interesting event for physicist from all fields to discuss about machine learning 😁🤖
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Here are some more impressions from the MT-ARD-ST3 meeting 2022 in Berlin! We came back with more research ideas and new potential research collaborators 😁🤓
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Today I gave my first workshop🤩 It was on machine learning applied to accelerators and it was so much fun to discuss with everyone! Thank you so much to participants, speakers, and hosts 😁@thorstenkamps @HumboldtUni @HZBde #mtardst3
Of you are interested the workshop material is publicly available here: github.com/ansantam/2022-MT-…
@thorstenkamps @HZBde @HumboldtUni
Exposition about particle accelerators is open at the Triangel Open Space in Kronenplazt. Come say hi 😁!!
@KITKarlsruhe
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Next Wednesday 27/07 my colleagues and I will be at the Triangel Open Space in Kronenplazt (KA) from 15:30 to 19:00 presenting our work, so pass by and say hello! 👋😁 kceta.kit.edu/downloads/2022…
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Hi peeps, please go follow @dpt_2022! We have very motivated students in the social media team that will be creating cool content linked to female physicists and the conference 🤓
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#academicjobs alert! There is a new doctoral student position at DESY to work on state-of-the-art diagnostic methods for short electrons bunches. Physicists or engineers welcome! take a look v22.desy.de/e67416/records14…