## Mathematical modeling

Lederman's research is in mathematical modeling, computational mathematics, statistical inference, and the geometry of data. Recent work includes algorithms for analyzing cryo-electron microscopy data to understand biological processes at the molecular and subcellular levels.

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### Biography

Roy Lederman received a BSc in Physics and Electrical Engineering from Tel Aviv University and a PhD in Applied Mathematics from Yale University. After a postdoc at Princeton, he joined Yale's Department of Statistics and Data Science. His group is located at the Institute for Quantitative Biology.