The Simons Collaboration Workshop on Homological Mirror Symmetry and Hodge Theory was held January 10-13. Learn more about the Simons Collaboration here.
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 to 3:00pm in room G10, CMSA Building.
The main focus of the workshop is the application of algebraic method to study problems in combinatorics. In recent years there has been a large number of results in which the use of algebraic technique has resulted in significant improvements to long standing open problems. Such problems include the finite field Kakeya problem, the distinct distance problem of Erdos and, more recently, the cap-set problem. The workshop will include talks on all of the above mentioned problem as well as on recent development in related areas combining combinatorics and algebra.
The following playlist contains videos from the workshop:
More videos can be found on our Youtube channel.
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 economics. This was the third conference on Big Data the Center hosted as part of our annual events, and was co-organized by Richard Freeman, Scott Kominers, Jun Liu, Horng-Tzer Yau and Shing-Tung Yau.
This youtube playlist contains all of the videos from the conference. For detailed abstracts and slides, you can find the schedule here.
CMSA Postdoc Zhong-Zhi Xianyu and colleagues’ latest research examines residual radiation from the Big Bang and their relation to the elementary particles in the Standard Model of particle physics.
This August, several presenters of the 2017 Big Data Conference stepped aside to offer a summary of their presentations and research.
Marena Lin (Harvard University) summarizes her presentation at the Harvard Center of Mathematical Sciences’ Big Data Conference 2017.