"Tony" Runzhe Yang
I study puzzles of human and machine intelligence.
This space gathers my research, blog posts, and other curiosities.
“Triviality arises at the interface of reality and our ways of understanding it.”
More About Me
I'm a Quant / ML researcher at Susquehanna.
I received dual Ph.D. degrees from the Computer Science Department and Neuroscience Institute at Princeton University, advised by Prof. Sebastian Seung and Prof. Karthik Narasimhan.
Previously, I did research at Google Brain and Flatiron Institute.
Academic Research
I research machine learning and computational neuroscience, often in large interdisciplinary collaborations.
Selected recent papers:
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[J7] Functional connectomics spanning multiple areas of mouse visual cortex.Nature, 640, pages 435-447, April 2025.The MICrONS Consortium (Machine Intelligence from Cortical Networks).[ AI/ML] [ Neuro]
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[J6] Neuronal wiring diagram of an adult brain.Nature, 634, pages 124-138, October 2024.Dorkenwald et al. & The FlyWire Consortium.[ AI/ML] [ Neuro]
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[J5] Network statistics of the whole-brain connectome of Drosophila.Nature, 634, pages 153-165, October 2024.Albert Lin*, Runzhe Yang* (equal contribution), Sven Dorkenwald, Arie Matsliah, Amy R. Sterling, Philipp Schlegel, Szi-chieh Yu, Claire E. McKellar, Marta Costa, Katharina Eichler, Alexander Shakeel Bates, Nils Eckstein, Jan Funke, Gregory S. X. E. Jefferis & Mala Murthy.
Fun Stuff
It's less likely to go too wrong when tackling smaller problems. My curiosity tends to wander toward many small, intriguing puzzles.
Interested in collaborating on x-Discovery? Let’s connect.
Music
I occasionally compose music, and here are some of my favourites.