Paul Scotti

@humanscotti

CTO / Co-Founder @SophontAI @MedARC_AI | Visiting research scientist @PrincetonNeuro | ex @StabilityAI

Oakland, CA sophont.med Joined July 2009

1.4K Following 2.5K Followers 622 Posts

Latest posts 5

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Paul Scotti @humanscotti Mar 19, 2024

🧠👁️Our MindEye2 preprint is out!

We reconstruct seen images from fMRI brain activity using only 1 hour of training data.

This is possible by first pretraining a shared-subject model using other people's data, then fine-tuning on a held-out subject with only 1 hour of data.🧵

Paul Scotti @humanscotti Oct 20

We've been training pathology and neuro foundation models at Sophont for a year now, and the pathology work is now good enough for real cancer research

Using routine tissue slides nearly all cancer patients already have, we predict spatially resolved genes and infer biological pathway activity

Hence, more cancer patients can have their tumors' biology molecularly interpreted to assess treatment options & discover biomarkers, which unfortunately isn't typically performed in routine standard of care

Looking forward to working with research teams to actually deploy the fruits of our research to cancer patients

Tanishq Mathew Abraham, Ph.D. Verified account @iScienceLuvr Oct 20

Cancer patients with the same diagnosis often have very different tumor biology.

Molecular testing can reveal underlying differences, but that's slow and expensive.

Introducing Holon-S1, our platform to predict genes and biomarkers from routine pathology slides.

• beats two other models at predicting spatial gene activity in a controlled comparison
• has identified potentially novel biomarkers in breast cancer and colon cancer
• evaluated across 16 organ types and more than 15 scanners, using slides from both formalin-fixed, paraffin-embedded and fresh-frozen tissue.

We believe Holon-S1 has the potential to help researchers find new biomarkers in slides they already have, discover treatment targets, and bring more personalized cancer care within reach!

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Paul Scotti @humanscotti Oct 5

Hosting a Google Meet on iEEG neuro foundation model paper, MAPA, presented by the first author Ben Tang!

Join us in 1.5 hours!

MedARC @MedARC_AI Oct 2

Continuing our Journal Club series on Monday October 5th at 11am PT!

Ben Tang (researcher at Duke) will be presenting his paper "Pretraining for Sample-Efficient Neural Interfaces"

To attend, join the Discord and check our website!

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Paul Scotti @humanscotti Sep 18

A talk I gave last month on scaling fMRI foundation models is out! youtube.com/watch?v=6b5biE…

It covers our recent CortexMAE and Brainmarks research, plus my hope to join labs together to pursue better public sharing of fMRI data

Many thanks to @adeli_hossein and the other organizers of this CCN satellite, had some fantastic chats and is great to see how neuroAI continues to grow

www.youtube.com Paul Scotti "Scaling foundation models for fMRI & fairly benchmarking... Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.

Hossein Adeli Verified account @adeli_hossein Sep 15

Recordings for our CCN 2026 satellite at ZI are now available on the event page!

Modeling and Understanding Human Brain Computation at Scale
CCN 2026 Satellite Event, August 2, 2026
kriegeskorte-lab.github.io/ccn-satellite-…

Thanks to all the speakers: Yao Wang, Paul Scotti @humanscotti, Andrew Luo, Iris Groen, Colin Conwell, Ratan Murty @apurvaratan, Jim DiCarlo @JamesJDiCarlo, Shalmali Joshi, and Martin Schrimpf @martin_schrimpf

Panelists: Patrick Mineault @patrickmineault, Teon Brooks @teonbrooks, Shalmali Joshi @shalmali_joshi_, and Niko Kriegeskorte @KriegeskorteLab

And co-organizers: Pinyuan Feng @Pinyuan3, Fan Cheng @LibraCheng, Andrew Luo, Niko Kriegeskorte and everyone else in the @KriegeskorteLab!
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Paul Scotti @humanscotti Jul 5

Check out our two posters at ICML!

Also dm me if you're around and would like to chat!

Tanishq Mathew Abraham, Ph.D. Verified account @iScienceLuvr Jul 5

Visiting Korea for the first time for ICML 2026!

DM me if you want to chat about medical AI. self-supervised learning, post-training, etc.

Also a reminder we are hiring :)

We also have a main paper and workshop paper, please check them out!

1. "Scaling Vision Transformers for Functional MRI with Flat Maps" - Wed 10:30am

2. "Medmarks: An Open-Source LLM Benchmark Suite for Medical Tasks" - FM4LS workshop, Sat 11:05am
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