Scholar
Roy R. Lederman
Google Scholar ID: JzK8uYAAAAAJ
Yale University
Citations & Impact
Citations
683
H-index
14
i10-index
20
Publications
20
Co-authors
16
list available
Publications
Resume (English only)
Academic Achievements
- Sloan Research Fellow (2023); co-organizer of the One World Cryo-EM online seminar series; published several papers (specific list not provided).
Research Experience
- Involved in multiple research projects, particularly in the field of cryo-electron microscopy (cryo-EM), focusing on issues such as alignment, classification, and signal processing. Developed the concept of 'hyper-molecules' to represent heterogeneous molecules as higher-dimensional objects. Also conducts research in Bayesian inference.
Education
- Postdoc in the Program in Applied and Computational Mathematics at Princeton University from 2015 to 2018, working with Amit Singer; Gibbs Assistant Professor in the Applied Mathematics Program at Yale University from 2014 to 2015, where he also obtained his PhD, working with Vladimir Rokhlin and Raphy Coifman; BSc in Physics and Electrical Engineering from Tel-Aviv University.
Background
- Research interests include the mathematics of data science, the combination of inverse problems and unsupervised learning, Bayesian inference and variational inference, numerical analysis and signal processing, applied harmonics analysis, empirical geometry of data, structural biology and cryo-EM, computational biology. Currently an Assistant Professor in the Department of Statistics and Data Science at Yale University, and a member of the Quantitative Biology Institute, Applied Math Program, Institute for Foundations of Data Science, and Wu Tsai Institute at Yale.
Miscellany
- Looking for extraordinary postdocs and graduate students to join the team; office hours available on his personal homepage or through Yale's internal Canvas system.
