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Victor Geadah

@vgeadah.bsky.social

95 followers 121 following 13 posts

Research Fellow at the Flatiron Institute, CCN. PhD in statistical neuroscience from Princeton. victorgeadah.github.io

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Reposted by Victor Geadah

Princeton Neuroscience Institute @princetonneuro.bsky.social · 18/12/2025

Congrats to PNI + affiliated trainees named 2025 Honorific Fellows by the @princeton.edu Graduate School! 👏 Victor Geadah 👏 Isaac Christian 👏 @danmirea.bsky.social gradschool.princeton.edu/news/2025/ho...

gradschool.princeton.edu

Honorific Fellows celebrated by Princeton Graduate School amidst 125th Anniversary

Thirty-two exceptional graduate students who received named or endowed fellowships for this academic year were recently feted by the Princeton Graduate School. The honorific fellowships support advanc...

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Victor Geadah @vgeadah.bsky.social · 18/12/2025

In a system subject to unobserved control, can you infer both the underlying dynamics and the control objective? 🤔 A year ago, I was presenting our work at IEEE CDC on solving this problem for stochastic LQR. arxiv.org/abs/2502.15014 Short 🧵 on the results, and how I think about them a year later.

A neural population of dynamics x_t, the "system", is subject to control via inputs u_t. These inputs may come from the population itself or some other unobserved system. We only get partial observations y_t of the system in x_t, in the form of neural recordings.

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Victor Geadah @vgeadah.bsky.social · 03/12/2025

At #NeurIPS2025! 🎉 Excited to present Conditionally Linear Dynamical Systems (CLDS). We leverage the dependence of neural dynamics on task covariates to yield an interpretable, flexible model of dynamics. Come meet and check it out! 📍: Poster #2209, Hall C,D,E on Thu Dec 4, 11 am–2 pm, PST. 🧵/6

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Victor Geadah @vgeadah.bsky.social · 03/12/2025

Thanks @hritz.bsky.social ! We published this work at NeurIPS, currently there to present it. 🔗: openreview.net/forum?id=xgm...

openreview.net

Modeling Neural Activity with Conditionally Linear Dynamical Systems

Neural population activity exhibits complex, nonlinear dynamics, varying in time, over trials, and across experimental conditions. Here, we develop *Conditionally Linear Dynamical System* (CLDS)...

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