merging adaptive motor control & machine learning | Prof @EPFL | 🐭@deeplabcut 🦓@cebraAI | @ELLISforEurope Scholar | @Harvard Alum | shorturl.at/Iu3MI
Joined February 2011
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🦓 Self-supervised multimodal ML is promising the next AI breakthrough - in our new work published in @Nature, we debut @CEBRAai: for self-supervised hypothesis- and discovery-driven science.
📝 doi.org/10.1038/s41586-023-0…
💻github.com/AdaptiveMotorCont…
🦓 cebra.ai/
🧵⬇️
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🥳 Excited that our Perspective about our new @SimonsFdn Collaboration: SCENE is out in @NeuroCellPress !
A great team effort across all the PIs, championed by @lengyel_m and @JP__NOEL 🙏
➡️ cell.com/neuron/fulltext/S08…
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🥳 New work from my lab (@MLabofAI) just dropped on @arxiv! Measuring the shape of an animal can be highly useful for biomedical applications and for avatars 😎
We introduce *PRIMA*:🔥SOTA 2D➡️3D animal shape by @xiaoyu912huang, @TiwangCS & I!
📝 arxiv.org/abs/2606.02366
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This nicely builds on top of our #SuperAnimal quadruped model (read more here: nature.com/articles/s41467-0… such that you can directly run shape inference with our pipeline!
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Also, please check out our @huggingface demo: huggingface.co/spaces/MLAdap…
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Thrilled to share that I’ve been promoted to Associate Professor with tenure at @EPFL! 🎉 Deeply grateful to my incredible lab, collaborators, and mentors who’ve made this journey possible. Excited for what’s ahead! 🧠✨
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Nature research paper: Prefrontal to ventral tegmental area dynamics drive contingency degradation
go.nature.com/4wbtWwx
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At #ICLR2026 Please check out our work #LlaVAction:
By co-first aurhors @shaokaiyeah and Haozhe Qi
TL;DR the first multi-modal LLM for action understanding and video captioning a new benchmark, methods to train your MMLLMs for such tasks 🕺🏻💃🏼
💻 llavaction.epfl.ch
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Mackenzie Weygandt Mathis, PhD retweeted
Mar 12
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!
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/scie…
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Mackenzie Weygandt Mathis, PhD retweeted
💉 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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Mackenzie Weygandt Mathis, PhD retweeted
Feb 25
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/…
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Mackenzie Weygandt Mathis, PhD retweeted
Feb 25
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/1e0I…
@ICepfl @EPFL_AI_Center
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🚨 ✨ New 3D pose estimation method from @mwmathislab! #FMPose3D allows for monocular (i.e. single camera) 2D ➡️ 3D 🔥
Led by @TiwangCS & w/@xiaoyu912huang #FMPose3D is SOTA on human & animal 3D benchmarks, & will be integrated into @DeepLabCut ⬇️👀
📝 arxiv.org/abs/2602.05755
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Mackenzie Weygandt Mathis, PhD retweeted
Feb 10
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 ⬇️
Feb 10
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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🚨 ✨ New 3D pose estimation method from @mwmathislab! #FMPose3D allows for monocular (i.e. single camera) 2D ➡️ 3D 🔥
Led by @TiwangCS & w/@xiaoyu912huang #FMPose3D is SOTA on human & animal 3D benchmarks, & will be integrated into @DeepLabCut ⬇️👀
📝 arxiv.org/abs/2602.05755
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Check out the demos & project page here: xiu-cs.github.io/FMPose3D/
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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/neuroscien…
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Mackenzie Weygandt Mathis, PhD retweeted
🐻 reID of unmarked Grizzly's in Alaskan wilderness from single images is a daunting task, but in our new work out in @CurrentBiology that is exactly what Beth Rosenberg & Mu Zhou & @TrackingPlumes! 🔥 Check out the work - many years in the making...
sciencedirect.com/science/ar…
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🐻 reID of unmarked Grizzly's in Alaskan wilderness from single images is a daunting task, but in our new work out in @CurrentBiology that is exactly what Beth Rosenberg & Mu Zhou & @TrackingPlumes! 🔥 Check out the work - many years in the making...
sciencedirect.com/science/ar…
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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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Check out the news article here: news.epfl.ch/news/ai-enables…
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