Welcome Globe

Thanks for visiting my website!

A personal photograph of Jon Huml

About

Howdy! I'm an engineer working on brain-computer interfaces at Zyphra. I am building foundation models for neuroscience, and my long term goal is to build computational replicas of human brains to build new modes of interactions with computers, diagnose and treat diseases, and understand how consciousness arises from matter.

I studied math at UNC-Chapel Hill (undergrad), computational science at Harvard (master's), and statistics at Columbia University (PhD)

Please reach out if you are interested in talking about my work or collaborating! I run a lot of projects and we frequently submit to NeurIPS/ICML/ICLR main conferences and workshops. Any passionate undergrads/master's/PhD students are welcome to join our group. We have compute and storage for you, no need to bring anything but enthusiasm.

Personal

I'm from Durham, North Carolina. I enjoy photography/cinematography and post my work on flickr. I put a few of my favorites in the gallery section of this site.

I'm very passionate about movies. Stories are the bedrock of human learning, and great researchers need to learn how to tell stories to communicate. Reviews on my letterboxd page.


RELEASES

~July 2026~

ZUNA1.1 encoder and decoder architecture

ZUNA1.1 is now out. Same arch as ZUNA1 but with variable-length context and more diverse dropout schemes!

We've also released a graphical user interface on Zyphra Cloud you can use for free inference with ZUNA!

~June 2026~

CASSM predicted and true neural activity rates over time, with uncertainty bands

Completed during my PhD at Columbia, we released CASSM, ("Computation-Aware State-Space Model") a highly scalable Bayesian state-space framework for predicting single-cell neural activity. You can install it with

pip install cassm

The project site is available at cassm-torch.com

~February 2026~

A new foundation model from Zyphra! We released ZUNA, a 380-million parameter diffusion autoencoder for EEG super-resolution. You can install it with

pip install zuna

Please let me know if you have any issues or questions. You can also submit a pull request on the GitHub repository