Michael Albergo develops generative models for scientific discovery, drawing on statistical physics and applied mathematics. An assistant professor at Harvard and Kempner Institute investigator, he is currently on leave working on a new research lab.

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Michael Albergo develops generative models for scientific discovery, drawing on statistical physics and applied mathematics. An assistant professor at Harvard and Kempner Institute investigator, he is currently on leave working on a new research lab.

Career

Assistant Professor of Applied Mathematics; Kempner Institute Investigator (on leave) at Harvard University until Present
Postdoctoral Researcher, Courant Institute at New York University until Past
jmlr.org

Stochastic Interpolants: A Unifying Framework for Flows and Diffusions

Michael’s co-authored paper presents a framework connecting flow-based and diffusion-based generative models through stochastic interpolants.

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