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Images from the Workshop on Probabilistic and Extremal Combinatorics
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Interview with Benny Sudakov
Benny Sudakov (ETH Zurich) describes the topics and goals of the Workshop on Extremal and Probabilistic Combinatorics and the importance of collaboration in science and math. ...
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Videos from the Simons Collaboration Workshop
The Simons Collaboration Workshop on Homological Mirror Symmetry and Hodge Theory was held January 10-13. Learn more about the Simons Collaboration here. ...
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Quantum Cohomology, Nakajima Vareties and Quantum groups
During the Spring 2018 Semester Artan Sheshmani (QGM/CMSA) will be teaching a CMSA special lecture series on Quantum Cohomology, Nakajima Vareties and Quantum groups. The lectures will be held Tuesdays and Thursdays, from 1:00 […] ...
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Interview with Noga Alon
Noga Alon (Tel Aviv University) discusses his current research and the Special Program on Combinatorics and Complexity hosted by CMSA. ...
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Videos from the Workshop on Algebraic Methods in Combinatorics
The following playlist contains videos from the workshop: The workshop on Algebraic Methods in Combinatorics took place November 13-17, 2017 at the Center of Mathematical Sciences and Applications as part of the program on Combinatorics […] ...
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Videos from Big Data 2017
The Big Data Conference featured many speakers from the Harvard community as well as scholars from across the globe, with talks focusing on computer science, statistics, math and physics, and […] ...
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Video recaps of Big Data 2017
This August, several presenters of the 2017 Big Data Conference stepped aside to offer a summary of their presentations and research. Prior to the event, organizer Jun Liu also sat […] ...
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Big Data 2017: Marena Lin
Marena Lin (Harvard University) summarizes her presentation at the Harvard Center of Mathematical Sciences’ Big Data Conference 2017. Title: Optimizing climate variables for human impact studies Abstract: Estimates of the relationship between […] ...
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Big Data 2017: Annie Liang
Annie Liang (University of Pennsylvania) summarizes her presentation at the Harvard Center of Mathematical Sciences’ Big Data Conference 2017. Title: The Theory is Predictive, but is it Complete? An Application […] ...
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Big Data 2017: Zak Stone
Title: TensorFlow: Machine Learning for EveryoneAbstract: We’ve witnessed extraordinary breakthroughs in machine learning over the past several years. What kinds of things are possible now that weren’t possible before? How […] ...
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Big Data 2017: Zak Stone
Zak Stone (Google) gives a brief summary of his presentation at the Center of Mathematical Sciences and Applications’ Big Data Conference 2017. Title: TensorFlow: Machine Learning for EveryoneAbstract: We’ve witnessed […] ...
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