Amit Singer

Amit Singer is a Professor of Mathematics at Princeton University and a member of the Program in Applied and Computational Mathematics (PACM). He joined Princeton in 2008 after serving as a Gibbs Assistant Professor at Yale University's Department of Mathematics from 2005 to 2008. His research spans theoretical and computational aspects of data science, with a focus on structural biology and methods like cryo-electron microscopy.

• Education: B.Sc. in Physics and Mathematics (1997), Ph.D. in Applied Mathematics (2005) from Tel Aviv University, Israel.

Research Interests: Singer leads advancements in computational methods for structural biology, particularly analyzing noisy data from cryo-EM. His work integrates applied mathematics with disciplines like random graph theory, sensor networks, and diffusion processes. Recent contributions combine representation theory with network construction to extract molecular structures from 2D images.

Scientific Awards:

• Moore Investigator in Data-Driven Discovery Award (2014)
• Simons Investigator Award (2012)
• Presidential Early Career Award for Scientists and Engineers (2010)
• Alfred P. Sloan Research Fellowship (2010)
• Haim Nessyahu Prize in Mathematics (2007)

Singer collaborates extensively with interdisciplinary teams, advancing the application of mathematics to real-world scientific challenges.