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Computing + Mathematical Sciences Division of Engineering and Applied Science
Home  /  People  /  Joel A. Tropp

Joel A. Tropp

Steele Family Professor of Applied and Computational Mathematics; Graduate Option Representative for Computing and Mathematical Sciences

algorithms, numerical analysis, statistics, random matrix theory

Overview

Joel Tropp's work lies at the interface of applied mathematics, electrical engineering, computer science, and statistics. This research concerns the theoretical and computational aspects of data analysis, sparse modeling, randomized linear algebra, and random matrix theory.

Related News

Joel Tropp Receives Feynman Prize for Excellence in Teaching
Joel Tropp Named 2024 IMS Fellow
Joel Tropp Elected Fellow of IEEE
Joel A. Tropp Named 2019 SIAM Fellow
AWS and Caltech Partner to Accelerate AI and Machine Learning
Highly Cited Researchers
Professor Tropp Receives Information & Inference Best Paper Prize
Professor Tropp Receives Pioneer Award
Highly Cited
Professor Tropp Receives SIAM Outstanding Paper Prize
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Publications

View more publications on feeds.library.caltech.edu

Related Courses

2022-23
CMS/ACM 117 – Probability Theory and Stochastic Processes
ACM 206 – Topics in Computational Mathematics
ACM 217 – Advanced Topics in Probability
2021-22
CMS/ACM 117 – Probability Theory and Stochastic Processes
ACM/IDS 204 – Topics in Linear Algebra and Convexity
2020-21
CMS/ACM 117 – Probability Theory and Stochastic Processes
ACM 217 – Advanced Topics in Stochastic Analysis