About Me

I am a Ph.D. student in Applied Physics at Stanford University, where I work towards the goal of developing fundamental theories of Artificial Intelligence. Some of my work in this direction includes the (E)LS model, which provides an account of generalization and creativity in simple diffusion models; this work was featured in Quanta Magazine and WIRED.

Prior to my time at Stanford, I worked as a Research Associate in the biophysics theory group at the Chan-Zuckerberg Biohub. There, I worked on a variety of problems in biophysics, developmental biology, and epidemiology. I obtained a Bachelor's in Physics and Computer Science from the University of Washington, where I worked with J. Nathan Kutz and Steve Brunton on Koopman theory; under their supervision, I worked on a formalism closely related to the HiPPO matrix formalism in State Space Models. I entered the University of Washington through the Robinson Center's Transition School/Early Entrance Program.

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Selected publications

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An analytic theory of creativity in convolutional diffusion models

Mason Kamb, Surya Ganguli

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Time-Delay Observables for Koopman: Theory and Applications

Mason Kamb, Eurika Kaiser, Steven L. Brunton, J. Nathan Kutz

Other work

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CMT-Benchmark: A Benchmark for Condensed Matter Theory Built by Expert Researchers

Haining Pan, [...], Eun-Ah Kim

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Statistical topology of the streamlines of a two-dimensional flow

Mason Kamb, Janie Byrum, Greg Huber, et. al.

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A high-resolution flux-matrix model describes the spread of diseases in a spatial network and the effect of mitigation strategies

Guillaum Le Treut, Greg Huber, Mason Kamb, et. al.

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Anthroponumbers. org: A quantitative database of human impacts on Planet Earth

Griffin Chure, Rachel A Banks, Avi Flamholz, Nicholas Sarai, Mason Kamb, et. al.

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DaXi—high-resolution, large imaging volume and multi-view single-objective light-sheet microscopy

Bin Yang, [...], Loic Royer