June 2026
Ongoing
Ongoing
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6/5
11:59pm
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Ongoing
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6/2
11:59pm
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Tuesday, June 2nd, 2026
12:00pm
–
1:00pm
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CMX Lunch Seminar
TBD
David Mordecai,
Adjunct Professor of Econometrics and Statistics,
University of Chicago Booth School of Business,
Wednesday, June 3rd, 2026
8:00am
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6/5
11:59pm
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Thursday, June 4th, 2026
2:30pm
–
3:30pm
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IQIM Postdoctoral and Graduate Student Seminar
The decoding problem: Computational complexity and practical solutions
Aleksander Kubica,
Yale,
Friday, June 5th, 2026
12:00am
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6/6
12:00am
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12:00pm
–
1:00pm
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Saturday, June 6th, 2026
8:00am
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6/9
11:59pm
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Monday, June 8th, 2026
9:00am
–
9:01am
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Tuesday, June 9th, 2026
12:00pm
–
1:00pm
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3:00pm
–
4:00pm
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Special CMX Seminar
Fast Randomized Recovery and Solvers for Rank-Structured Matrices
Anna Yesypenko,
Assistant Professor, Department of Mathematics,
Department of Mathematics,
The Ohio State University,
Wednesday, June 10th, 2026
8:00am
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6/12
11:59pm
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Thursday, June 11th, 2026
4:30pm
–
5:30pm
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Special CMX Seminar
Long-time and small-ensemble analyses of the ensemble Kalman filter
Nathan Waniorek,
5th year PhD Student,
Computational and Applied Mathematics,
University of Chicago,
Friday, June 12th, 2026
10:00am
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12:00pm
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Monday, June 15th, 2026
12:00am
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6/16
12:00am
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Tuesday, June 16th, 2026
2:30pm
–
3:30pm
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IQIM Postdoctoral and Graduate Student Seminar
Quantum advantages for syndrome-aware noisy logical observable estimation
Kento Tsubouchi,
University of Tokyo,
3:00pm
–
4:00pm
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Mechanical and Civil Engineering Special Seminar
Modeling and Controlling Nonlinear Dynamics from Data (without Neural Networks)
George Haller,
Professor of Mechanical Engineering and Mathematics,
Institute for Mechanical Systems,
ETH Zürich,
Wednesday, June 17th, 2026
9:00am
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9:01am
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Thursday, June 18th, 2026
2:00pm
–
3:00pm
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IQIM Postdoctoral and Graduate Student Seminar
Driven-Dissipative Entanglement of Distant Giant Atoms
Aziza Almanakly,
NYU,
Wednesday, June 24th, 2026
Friday, June 26th, 2026
10:00am
–
11:00am
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CMS Special Seminar with Prof. SooJean Han
Autonomous Control for Stochastic Systems: Making Reliable Learning-Enabled Decisions under Uncertainty