National Academy of Engineering (NAE) Member,.American Academy of Arts and Sciences Member,.Association for Computing Machinery (ACM) Fellow,.American Association for the Advancement of Science (AAAS) Fellow,.
Society for Industrial & Applied Mathematics (SIAM) Fellow,.International Society for Bayesian Analysis (ISBA) Fellow,.Ulf Grenander Prize in Stochastic Theory and Modeling,.Jacobs, " Hierarchical mixtures of experts and the EM algorithm," Neural Computation, vol. Jordan, " An internal forward model for sensorimotor integration," Science, vol. Saul, " An introduction to variational methods for graphical models," Machine Learning, vol. Jordan, " Latent Dirichlet allocation," J. Jordan, " Graphical models," Statistical Science: Special Issue on Bayesian Statistics, vol. Blei, " Hierarchical Dirichlet processes," J. Jordan, " Learning spectral clustering, with application to speech separation," J. Jordan, " Structured prediction, dual extragradient and Bregman projections," J. Jordan, " Optimistic concurrency control for distributed unsupervised learning," in Advances in Neural Information Processing Systems 26, 2013, pp. Jordan, " Parallel correlation clustering on big graphs," in Advances in Neural Information Processing Systems 28, 2015, pp. Jordan, "Interleaving computational and inferential thinking: Data science for undergraduates at Berkeley," 2016, New York, USA, June 23-26, 2016, 2016, pp. Steinhardt, "Learning equilibria in matching markets from bandit feedback," in Advances in Neural Information Processing Systems, 2021.Ī. Jordan, "Understanding the acceleration phenomenon via high-resolution differential equations," Mathematical Programming, vol. Worldwide in an article in Science, based on rankings from the Semantic Scholarġ985, Ph.D., Cognitive Science, UC San Diegoġ980, M.S., Mathematics, Arizona State Universityġ978, B.S., Psychology, Louisiana State Universityī. Jordan was named the "most influential computer scientist" He is a Fellow of the AAAI, ACM, ASA, CSS, IEEE, IMS, ISBA and SIAM. In 2022, the IMS Neyman Lecture in 2011, and an IMS Medallion Lecture inĢ004. He gave the Inaugural IMS Grace Wahba Lecture Rumelhart Prize in 2015, and the ACM/AAAIĪllen Newell Award in 2009. The IEEE John von Neumann Medal in 2020, the IJCAI Research ExcellenceĪward in 2016, the David E. Ulf Grenander Prize from the American Mathematical Society in 2021, International Congress of Mathematicians in 2018. He is a Fellow of the American Associationįor the Advancement of Science. Jordan is a member of the NationalĪcademy of Sciences, a member of the National Academy of Engineering,Ī member of the American Academy of Arts and Sciences, and a Foreign His research interests bridge the computational, statistical, cognitive,īiological and social sciences. He was a professor at MIT from 1988 to 1998. He received his Masters in Mathematics from Arizona State University,Īnd earned his PhD in Cognitive Science in 1985 from the University ofĬalifornia, San Diego. Jordan is the Pehong Chen Distinguished Professor in theĭepartment of Electrical Engineering and Computer Science and theĭepartment of Statistics at the University of California, Berkeley. Jordan is the Pehong Chen Distinguished Professor in the Department of Electrical Engineering and Computer Science and the Department of Statistics at the University of California, Berkeley.
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