Summer 2020

Statistics in the Big Data Era

May 27May 29, 2020

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Liza Levina (University of Michigan; co-chair), Haiyan Huang (UC Berkeley; co-chair), Peter Bühlmann (ETH Zürich), Peng Ding (UC Berkeley), Jianqing Fan (Princeton University), Katerina Kechris (University of Colorado Denver), Ya'acov Ritov (University of Michigan)

This conference is focused on the changing role and nature of the discipline of statistics in the time of a data deluge in many applications, and increasing success of artificial intelligence at performing many data analysis tasks. The conference aims to bring together experts in statistical methodology and theory for complex and big data with researchers focused on a range of applications, from genomics to social networks, and to provide opportunities for new researchers to learn about both emerging methods and applications.

The conference will also be an occasion to celebrate Professor Peter Bickel’s 80th birthday. Peter has spent his long and distinguished career at the Department of Statistics at UC Berkeley, throughout which he remained committed to developing theory and methods that shed light on relevant applications, a goal more relevant than ever in the age of big data.

Confirmed Speakers:
Ben Brown (Lawrence Berkeley National Laboratory), Florentina Bunea (Cornell University), David Donoho (Stanford University), Noureddine El Karoui (UC Berkeley & Criteo), Jing Lei (Carnegie Mellon University), Jingyi Jessica Li (UCLA), Boaz Nadler (Weizmann Institute), Dominik Rothenhaeusler (UC Berkeley), Purnamrita Sarkar (University of Texas at Austin), Jas Sekhon (UC Berkeley), Alexandre Tsybakov (ENSAE-CREST), Rachel Wang (University of Sydney), Yazhen Wang (University of Wisconsin, Madison), Jon A. Wellner (University of Washington), Chien-Fu Jeff Wu (Georgia Tech), Bin Yu (UC Berkeley), Nancy Zhang (University of Pennsylvania), Harrison Zhou (Yale University)

All talks take place in the Calvin Lab auditorium.

Further details about this conference will be posted in due course.

We gratefully acknowledge support from: