Mackenzie Weygandt Mathis, PhD

merging adaptive motor control & machine learning | Prof @EPFL | 🐭@deeplabcut 🦓@cebraAI | @ELLISforEurope Scholar | @Harvard Alum |

[Mackenzie Weygandt Mathis, PhD @TrackingActions]

🦓 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.

📝 https://t.co/VmrRfy5V9B
💻https://t.co/RsnRWqkbGs
🦓 https://t.co/zgxSGtOpav
🧵⬇️

[Mackenzie Weygandt Mathis, PhD @TrackingActions]

This nicely builds on top of our #SuperAnimal quadruped model (read more here: https://t.co/N7UJj8szm4 such that you can directly run shape inference with our pipeline!

[Mackenzie Weygandt Mathis, PhD @TrackingActions]

🥳 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!

📝 https://t.co/s7sA0Lup2S

[Mackenzie Weygandt Mathis, PhD @TrackingActions]

Brilliant talk by @TonyZador kicking off the #NeuroAI session at @CSHL 90th anniversary symposium

[Mackenzie Weygandt Mathis, PhD @TrackingActions]

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! 🧠✨

[nature @Nature]

Nature research paper: Prefrontal to ventral tegmental area dynamics drive contingency degradation

https://t.co/I8SvtkS6hO

[Mackenzie Weygandt Mathis, PhD @TrackingActions]

@maxhodak_ Switzerland 🇨🇭

[Mackenzie Weygandt Mathis, PhD @TrackingActions]

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 🕺🏻💃🏼

💻 https://t.co/xgav7iO9Nf
💙

[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!

[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:

https://t.co/SKWSXFCwVw

[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. https://t.co/yj0tNimbIu

[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."

https://t.co/ZlB7Mm1SFj

@ICepfl @EPFL_AI_Center

[Mackenzie Weygandt Mathis, PhD @TrackingActions]

And now, accepted to #CVPR2026! 🙌🔥 @CVPR ⬇️

[Mackenzie Weygandt Mathis, PhD @TrackingActions]

🚨 ✨ 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 ⬇️👀

📝 https://t.co/wZ0sBNsgqL

[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 ⬇️

[Mackenzie Weygandt Mathis, PhD @TrackingActions]

Check out the demos & project page here: https://t.co/Q3iWCh0Zvb

[Mackenzie Weygandt Mathis, PhD @TrackingActions]

🚨 ✨ 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 ⬇️👀

📝 https://t.co/wZ0sBNsgqL

[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.

https://t.co/H0PJND1x2o

[Mackenzie Weygandt Mathis, PhD @TrackingActions]

🐻 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...

https://t.co/YJvqPf0Kuf

[Mackenzie Weygandt Mathis, PhD @TrackingActions]

Check out the news article here: https://t.co/2PXltJCCH2

[Mackenzie Weygandt Mathis, PhD @TrackingActions]

🐻 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...

https://t.co/YJvqPf0Kuf

[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 ...