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Aaron Roth

Professor at University of Pennsylvania

Aaron Roth is a prominent figure in the fields of machine learning, algorithmic fairness, differential privacy, and algorithmic game theory. He holds a PhD in Computer Science from Carnegie Mellon University and a BA in Mathematics and Computer Science from Columbia University. Aaron is currently a Professor at the University of Pennsylvania, where he imparts his vast knowledge and expertise to the next generation of professionals. He previously served as an Amazon Scholar at Amazon Web Services (AWS) and held positions as an Associate Professor, Assistant Professor, and Postdoctoral Researcher at the University of Pennsylvania. Aaron also gained valuable industry experience through roles as a Research Intern and Software Engineering Intern at Microsoft, as well as a Research Intern at Google.

Highlights

Mar 17 · linkedin

George and I wrote a blog post on calibration through the lens of decision making: https://lnkd.in/eYs4JFzu We think calibration has strong semantics as "trustworthiness", and that lots can be gained by designing uncertainty quantification for particular decision making tasks.

Aaron Roth
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Location

Philadelphia, Pennsylvania, United States