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Ahmed El Alaoui is an Assistant Professor in the Department of Statistics and Data Science at Cornell University. His research interests encompass high-dimensional phenomena, statistics, probability theory, and algorithms for random structures. He is particularly engaged in the study of statistical physics and has received funding from the National Science Foundation. His teaching portfolio includes courses on Statistical Computing, Probability Models, and High-Dimensional Inference, among others. El Alaoui has been involved in numerous workshops and talks related to statistical theory and algorithmic complexity, and his work has been presented at prestigious conferences such as the Annual Conference on Foundations of Computer Science. Throughout his academic career, he has made significant contributions to understanding the theoretical underpinnings of statistical models and their applications in high-dimensional data analysis. His background includes a Ph.D. in Electrical Engineering and Computer Sciences from the University of California, Berkeley, where he was advised by Michael Jordan. El Alaoui's publications focus on topics such as the dynamics of Ising models, statistical estimation, and algorithmic frameworks for challenging optimization problems in high dimensions.
Cornell University • Ithaca, NY
Teaching courses on statistical computing and high-dimensional statistics.
Stanford University •
Conducted research in statistical theory under the supervision of Andrea Montanari.
Simons Institute for the Theory of Computing, UC Berkeley • Berkeley, CA
Engaged in research related to computational theory.
Department of Architecture