The recruitment window is still open for a postdoc to join my lab at Duke in the fall! Feel free to email or DM me if you wanna chat.

Have you ever had to go through the gruelling process of finding a good restaurant based on Google reviews? 🍝 If you're at #cogsci2024, come check out my poster tomorrow to learn how humans use social information from others with similar, but nonidentical, tastes!

It's good to be back! Here are some sketches from #CogSci2024:

Germany tried this. It is a disaster. Pushes ppl out of research. The positions they are supposed to transition into don't exist. I can't keep my research team here because of arbitrary contract limits like this. Tragic and demoralizing for all of us. #WissZeitVG #IchbinHanna

My contribution on Causal Learning to the Open Encyclopedia of Cognitive Science - already shaping up to be a definitive resource, with entries from an impressive array of leaders in the field. Check it out! oecs.mit.edu/pub/i1om74mo/r…

You should immediately drop what you're doing and apply for this position with Mark!

New blog post about Hanqi Zhou 's first PhD project, which was given a spotlight at ICLR 2025 (arxiv.org/abs/2403.13179), showing how 🤖 + 🧠 yields new insights about how we can build better AI tutors

🚨New preprint!🚨Excited to share my 1st PhD project with Bonan Zhao / 赵博囡 Griffiths Computational Cognitive Science Lab Natalia Vélez (natvelali.bsky.social @ 🦋) Teaching is a powerful way to pass on "tools for thought" to solve new problems. How well do existing teaching models of teaching capture this process? Link: osf.io/preprints/psya…

🍾🥂 Proud & humbled to be awarded an #ERCStG! W/out the support of my amazing lab hmc-lab.com & colleagues Universität Tübingen Max Planck Institute for Biological Cybernetics ML for Science none of this would be possible. Here’s to the next big steps 🚀 with C4🧨uniting compositionality and cumulative culture🤯

🥳🧪new paper out w/ Damien R. Farine about how movement shapes networks and interacts with transmission rules to affect spreading dynamics. Key take-away is that spreading on dynamic networks =/= spreading on static representations of those dynamic networks doi.org/10.1098/rstb.2…