Jakob Macke
@jakhmack
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#ML & #AI for scientific discovery · Prof @uni_tue @ml4science @mackelab @BernsteinNeuro · Adjunct @mpi_is · Fellow @EllisForEurope · Now: @jakhmack.bsky.social
Tübingen, BW
Joined April 2015
Building models of the fruit fly visual system, with connectomes + deep learning: Our study by @lappalainenjk and with @srinituraga and colleagues now out in Nature! Paper: https://t.co/pm2bKF6Qnk Research briefing:
nature.com
Nature - A study demonstrates how experimental measurements of only the connectivity of a biological neural network can be used to predict neural responses across the fly visual system at...
Our study with @srinituraga et al to simulate the fruit fly visual system with deep learning now out in @nature! Paper: https://t.co/ChmxwGBqcD Research Briefing: https://t.co/ChmxwGBqcD
@lappalainenjk @jakhmack @uni_tue @ml4science
https://t.co/xiNrj85IT9
@dfg_public!
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New preprint! Using simulation-based inference #SBI to map orientation #uncertainty and perform brain probabilistic #tractography. Work led by @josepemanzano in collaboration with @jakhmack @deismic_ @CorSchroeder @tkypraios @ppjgoncalves. @ERC_Research
Uncertainty mapping and probabilistic tractography using Simulation-Based Inference in diffusion MRI: A comparison with classical Bayes https://t.co/KjvYq2gONp
#biorxiv_neursci
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Seems like a good time to remind y'all that the deadline is only a few days away, and we are looking for PhD students and postdocs, to work on simulation-based inference for science, deep neural network models of brain function, and AI for clinical brain research ...
🇨🇦 🇪🇺 ELLIS and @CIFAR are joining forces to expand the ELLIS PhD & Postdoctoral Program in AI CIFAR Fellows and Canada AI Chairs will join ELLIS advisors, connecting PhD students with top AI researchers across Europe & North America. Learn more here: https://t.co/HxtaHcJ3mh
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🚀I'm hiring--two postdocs and a research software engineer (RSE) to work with me on gravitational waves and machine learning at Nottingham! The posts are funded by my recently-awarded UKRI Future Leaders Fellowship. Postdocs: https://t.co/NZW7bpOwse RSE:
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Want a tool that uses ML to generate REALLY good fake brain recordings? You're getting one. Julius' paper on diffusion models for brain data is published! Works with all kinds of densely sampled, multichannel continuous signals (LFP, EEG, etc.) https://t.co/CG7aD3uLAu
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Researching #AI #ComputerVision #MachineLearning #Robotics #HCI? Join our elite doctoral program - a partnership with MPI-IS, @uni_stuttgart & @uni_tue! Applications accepted until Nov 15, 2024 at https://t.co/veVpmjl215
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I moved from Toronto to the London with @geoffreyhinton as one of the founding faculty of the @GatsbyUCL Unit. A few years afterwards, @demishassabis did his PostDoc there. Congrats to the Unit; what an amazing place!
amp.theguardian.com
Recognition for Demis Hassabis and Geoffrey Hinton marks moment when important ingredients came together
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We are looking hire students through the #ELLISPHD program: Work with us on simulation-driven tools for scientific discovery, on using AI to build large-scale biophysical models, or AI tools for clinical neuroscience. Full thread: https://t.co/ek2oB7aHxt. Please RT!
The #ELLISPhD application portal is now open! Apply to top #AI labs & supervisors in Europe with a single application, and choose from different areas & tracks. The call for applications: https://t.co/og6xzr14tj Deadline: 15 November 2024 #PhD #PhDProgram #MachineLearning #ML
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So disappointing that Peter D didn't win the Physiology prize. Otherwise it would have been a clean sweep for @Gatsby_UCL. Hohum - next year.
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We have openings for PhD students and Postdocs! Come work with us on 1) using AI to understand how neural computations are implemented in the brain or 2) AI tools for clinical neuroscience or 3) simulation-based inference for scientific discovery!
A propos: Inspired to do a PhD or Postdoc in #ML4Science/#AI4Science? We have multiple openings to work ML and AI tools for scientific discovery, in neuroscience and beyond! Full details: https://t.co/oNwIeQ3g8v Students: Apply by Nov 15, directly to IMPRS-IS or @ELLISforEurope
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If Elizabeth Gardner ( https://t.co/BMOgonORz4) had not passed away so prematurely, she might have been among the nominees for yesterday’s Nobel Prize in Physics. Let’s remember her pioneering contributions to the study of neural networks.
en.m.wikipedia.org
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Oh wow... so many congrats to @demishassabis and colleagues for the Nobel Prize in Chemistry!
Huge congratulations to @DemisHassabis and John Jumper on being awarded the 2024 Nobel Prize in Chemistry for protein structure prediction with #AlphaFold, along with David Baker for computational protein design. This is a monumental achievement for AI, for computational
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Big news! The fly connectome is featured on the cover of a special edition of Nature. This is all possible thanks to the collaboration of 292 members of The FlyWire Consortium! https://t.co/Mrz7Yrx1eU Check out the thread for an overview of the 9 #flywire papers published today
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If you are interested in an overview of the special issue, you can start with this feature, written by me with amazing graphics from our team as well as the @FlyWireNews team (let's be real, you should go for the cool graphics and reconstructed neurons) https://t.co/55KtUNasE3
nature.com
Artificial intelligence and human expertise meet to generate a map of all the connections in the fly brain. The resource is already being used by experimentalists and theoreticians to further our...
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Join me at my @BernsteinNeuro poster later today, to discuss @_Jaivardhan_ and my work on Latent Diffusion for Neural Spiking data which just got accepted as a 🔦🔦 @NeurIPSConf 🎉 Wonderfully collaborative work with Julius @fel_p8 @_rdgao and @jakhmack 🙌🏼
I-7 (Mon 16:30): @SchulzAuguste kicks off the @mackelab poster marathon, introducing LDNS, a diffusion-based latent variable model to generate diverse neural spiking data flexibly conditioned on external variables. Fun project co-led with @_Jaivardhan_: https://t.co/G01PbgClRe
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It will be a great session with excellent speakers: @bradlega, @LucaKolibius, @IlonaVieten (also from the @humansingleunit lab), @JudPet, @steliebe, Kareem Zaghloul, Mohammad Khazali and Michael Yassa.
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Very excited about this year’s #Bernsteinconference in Frankfurt, and about such cool contributions from the lab!
We’re at Bernstein Conference next week with lots of new work to share: 10 posters, 1 workshop talk, and don’t miss @jakhmack’s invited talk on Wednesday! If you’re excited about machine learning for (neuro)science, come chat with us—we’re hiring PhD students & postdocs!
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Our survey on Deep Learning for System Identification is out! We cover in-depth all necessary topics for anyone with a system identification background to get started with deep learning. This harmonises research from both communities! Check it out: https://t.co/O4IbiTVF15
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Back in 2022, @roxana_zeraati & I organized a Cosyne workshop on neural timescales, and after working on it for the last 2 years together, it's now a review paper! https://t.co/LgVdULAQ2U w/ @SelfOrgAnna & @jakhmack (2nd blogpost to turn into a real review paper this year lol)
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📢 Applications are open! Join colleagues @HHMIJanelia to explore analysis and modeling of #connectomes to derive insights and solve biological problems. Learn more + apply by Dec. 3 @ https://t.co/jbj6WG5tpd
@HHMINews @srinituraga @GjorJulijana
#computationalbiology
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