Whether we talk about digital transformation or big data, statistics and data science have been in the spotlight. In this talk I will share my thoughts on why this is an exciting time for the statistics profession and why we must address many challenges to stay ahead in the data science era. I will discuss the fast-changing landscape for statistics research and education, and describe some of the important data challenges and research problems that may define our profession in the years ahead. The discussions are aimed at any faculty and students who are interested in the future of statistics.
3月31日
3:00pm - 4:00pm

地点
Lecture Theater F (Lifts 25/26)
讲者/表演者
Prof. Xuming HE
University of Michigan
University of Michigan
主办单位
Department of Mathematics
联系方法
付款详情
对象
Alumni, Faculty and staff, PG students, UG students
语言
英语
其他活动

3月24日
研讨会, 演讲, 讲座
IAS / School of Science Joint Lecture - Pushing the Limit of Nonlinear Vibrational Spectroscopy for Molecular Surfaces/Interfaces Studies
Abstract
Surfaces and interfaces are ubiquitous in Nature. Sum-frequency generation vibrational spectroscopy (SFG-VS) is a powerful surface/interface selective and sub-monolayer sensitive spect...

11月22日
研讨会, 演讲, 讲座
IAS / School of Science Joint Lecture - Leveraging Protein Dynamics Memory with Machine Learning to Advance Drug Design: From Antibiotics to Targeted Protein Degradation
Abstract
Protein dynamics are fundamental to protein function and encode complex biomolecular mechanisms. Although Markov state models have made it possible to capture long-timescale protein co...