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Glad that this paper is out Scientific Reports where we combined Bayesian nonparametrics & vector representations of context to learn shared & context-specific information; and we used the model to account for human data on schema learning and event cognition! nature.com/articles/s4159…

Excited to announce Centaur -- the first foundation model of human cognition. Centaur can predict and simulate human behavior in any experiment expressible in natural language. You can readily download the model from Hugging Face and test it yourself: huggingface.co/marcelbinz/Lla…

My gf makes the best dinners! Aloo chana with tandoori salmon and dahi 😍 #ILoveAnmol

This is now out in Nature Communications !!! nature.com/articles/s4146…

See me at #COSYNE2025 poster session 2 if you want to learn more about this emerging work!

Happy to share my first first-authored work at Griffiths Computational Cognitive Science Lab. Determining sameness or difference between objects is utterly trivial to humans, but surprisingly inaccessible to AI. Meta-learning can help neural networks overcome this barrier. Link: arxiv.org/abs/2503.23212 (1/5)

Excited to join this community and incredibly grateful to the New York Academy of Sciences and Leon Levy Foundation for funding my postdoctoral research!

We are pleased to congratulate @Sreejan_Kumar of Columbia University on joining the 2025 cohort of #LeonLevyScholars in partnership with the Leon Levy Foundation! 👏 Learn more about Sreejan & meet each of the Scholars in our latest press release: bit.nyas.org/3Yoa6Pf

Excited to see our Centaur project out in nature. TL;DR: Centaur is a computational model that predicts and simulates human behavior for any experiment described in natural language.

Thrilled to see our TinyRNN paper in @nature! We show how tiny RNNs predict choices of individual subjects accurately while staying fully interpretable. This approach can transform how we model cognitive processes in both healthy and disordered decisions. doi.org/10.1038/s41586…

Our new study in Nature Computational Science, led by Haibao Wang, presents a neural code converter aligning brain activity across individuals & scanners without shared stimuli by minimizing content loss, paving the way for scalable decoding and cross-site data analysis. nature.com/articles/s4358…

#TonightsDinner home-made tandoori chicken with whole-wheat roti and a side of yogurt and carrots