Big Data 2016: Yiling Chen (Harvard)
We spoke with Professor Yiling Chen about her recent talk at CMSA’s Big Data 2016 Conference, her work, and her thoughts on the field. Prof. Chen’s talk was on “Machine […] ...
Read MoreWe spoke with Professor Yiling Chen about her recent talk at CMSA’s Big Data 2016 Conference, her work, and her thoughts on the field. Prof. Chen’s talk was on “Machine […] ...
Read MoreMany members of the Center of Mathematical Sciences and Applications recently attended the Strings 2016 Conference hosted at Tsinghua University in Beijing. This week-long conference featured talks by several of […] ...
Read MoreLorenzo Sironi gave a talk on “Electron Heating and Acceleration in the Vicinity of Supermassive Black Holes” at CMSA’s Workshop on Aspects of General Relativity in May. ...
Read MoreJames Guillochon gave a talk on “Tidal disruptions of stars by supermassive black holes: dynamics, light, and relics” at CMSA’s Workshop on Aspects of General Relativity in May. ...
Read MoreCMSA recently hosted a three-day Simons Collaboration workshop on Homological Mirror Symmetry. We interviewed Professor Bong Lian (Brandeis University), one of the workshop’s organizers, about the event and the field. […] ...
Read MoreCMSA has been hosting a special program on nonlinear equations. Most physical phenomena, from the gravitating universe to fluid dynamics, are modeled on nonlinear differential equations. The subject also makes […] ...
Read MoreProfessor Camillo De Lellis (University of Zurich) speaks about his work on nonlinear equations. ...
Read MoreProfessor Piotr Chrusciel (University of Vienna) speaks about his work on nonlinear equations. ...
Read MoreProfessor Ronitt Rubinfeld discusses her research on big data and her upcoming CMSA Big Data conference talk, “Something for almost nothing: sublinear time approximation algorithms.” “Prof. Rubinfeld’s talk begins at […] ...
Read MoreProf. Piotr Indyk spoke to us about his work on big data and his CMSA Big Data conference talk, “Fast Algorithms for Structured Sparsity.” ...
Read MoreProf. Lucy Colwell spoke with us about her CMSA Big Data conference talk, “Using evolutionary sequence variation to make inferences about protein structure and function: Modeling with Random Matrix Theory,” […] ...
Read More