Mackenzie Weygandt Mathis, PhD

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Mackenzie Weygandt Mathis, PhD

Mackenzie Weygandt Mathis, PhD

@TrackingActions

merging adaptive motor control & machine learning | Prof @EPFL | 🐭@deeplabcut 🦓@cebraAI | @ELLISforEurope Scholar | @Harvard Alum | https://t.co/FakcYoDAC3

🇨🇭 Beigetreten Şubat 2011
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Karl Deisseroth
Karl Deisseroth@KarlDeisseroth·
From the neuroscience perspective, behavior is unmatched as noninvasive quantitative readout of brain function (and best of all, it is a readout that matters). This initial lifelong continuous screen of behaving vertebrates provided a wealth of new ideas regarding progression and staging of brain function across the adult lifespan. Truly impressive work from Claire, Ravi, and the whole creative and dedicated team. Lifelong work takes a long time, even with killifish!
Claire Bedbrook@clairebedbrook

Excited to share this work with an amazing team: @KarlDeisseroth @BrunetLab @Ravi__Nath @scott_linderman Libby Zhang Paper in Science: science.org/doi/10.1126/sc…

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Mackenzie Weygandt Mathis, PhD
Mackenzie Weygandt Mathis, PhD@TrackingActions·
💉 Finding clinical trials & knowing which are useful is an overwhelming task, even if you know where to start! I worked on a simple @Gradio app for parsing clinical trials+ adding a #DeepSeek model to rank trials + user Q&A. I hope its useful to many: clinicaltrialmatcher.org
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McGovern Institute
McGovern Institute@mcgovernmit·
How does the brain know which neurons to adjust during learning in order to optimize behavior? MIT researchers discovered that brains can use cell-by-cell error signals to do this — surprisingly similar to how AI systems are trained via backpropagation. mcgovern.mit.edu/2026/02/25/neu…
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Amir Zamir
Amir Zamir@zamir_ar·
Swiss AI Visiting PhD Program at EPFL. Deadline Feb 28. "The program provides a fellowship contribution of CHF 2,500 ($3200) per month, access to the Alps supercomputer, and eligibility for a post-visit continuation grant of up to 50k GPU hours. The call is open to PhD students enrolled outside Switzerland, with applications supported by EPFL PIs contributing to the Swiss AI Initiative. The application closes on February 28." drive.google.com/file/d/1e0IEay… @ICepfl @EPFL_AI_Center
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Andy Keller
Andy Keller@t_andy_keller·
People often assume that state of the art vision models are *not recurrent* -- but what if it's not so clear-cut? It turns out DINOv2 activations can be fit approx. 1-to-1 with only 2 transformer blocks applied recurrently. Leb by @mozesjacobs @thomas_fel_ & @RichieHakim ⬇️
Mozes Jacobs@mozesjacobs

Are ViTs secretly RNNs? #ICLR2026 Our 2-block recurrent transformer recovers 96% of DINOv2’s IN-1k accuracy & reproduces its activations 1-to-1, motivating the Block-Recurrent Hypothesis: arxiv.org/abs/2512.19941 w/ @thomas_fel_ @RichieHakim @ABrondetta Demba Ba @t_andy_keller

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EPFL
EPFL@EPFL_en·
Neural interfaces are the winners of the 2026 Queen Elisabeth Prize for Engineering. Nine scientists are honoured, including J.Bloch and G.Courtine (EPF/UNIL/CHUV,) recognized for their development of electronic spinal stimulation technology. actu.epfl.ch/news/neuroscie…
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Mackenzie Weygandt Mathis, PhD
Mackenzie Weygandt Mathis, PhD@TrackingActions·
Biologically, it reveals that bears have a much larger range than previously documented. This has important implications for conservation efforts in Alaska ...
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Mert Yuksekgonul
Mert Yuksekgonul@mertyuksekgonul·
How to get AI to make discoveries on open scientific problems? Most methods just improve the prompt with more attempts. But the AI itself doesn't improve. With test-time training, AI can continue to learn on the problem it’s trying to solve: test-time-training.github.io/discover.pdf
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