Carnegie Mellon University
STAMPS@CMU

STAtistical Methods for the Physical Sciences Research Center

STAMPS@CMU  ›  About STAMPS

Our Mission

STAMPS@CMU develops foundational statistical methodology that addresses emerging open problems in fundamental physics, environmental and climate sciences. Our goal is to promote trustworthy scientific discovery that advances science and informs policy decisions. We achieve this by fostering mutually beneficial and sustained collaborations between data scientists and physical scientists to leverage scientific expertise, build trust in interpretable methods, and transfer knowledge across the mathematical and physical sciences.

STAMPS is one of few research centers in the US specializing in foundational statistics and AI research for the physical sciences.

STAMPS includes a core research group of 20-30 Statistics and Machine Learning faculty and students at CMU.

Since its conception in 2018, STAMPS has built a network of sustained collaborations between data scientists and physical scientists nationally and internationally.

STAMPS is offering public colloquia-style webinars open to all members of the scientific community in addition to local center meetings that are open to CMU and Pitt faculty and students.

In Fall 2024, STAMPS transitioned from a research group to the STAMPS@CMU Research Center.

For all STAMPS updates, subscribe to our public webinar mailing list.

Founders and Co-Directors of STAMPS

Ann Lee headshot

Ann B. Lee

Professor, Co-Director of Ph.D. Program in Statistics
Department of Statistics & Data Science
Department of Machine Learning
Carnegie Mellon University

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Mikael Kuusela headshot

Mikael Kuusela

Associate Professor of Statistics
Department of Statistics & Data Science
Carnegie Mellon University

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Learn about other Center members