Wharton Chair Professor Tianwen Cai Delivers Academic Lecture to our School


On November 12, the 72nd academic lecture of School of Business and Management of Shanghai International Studies University (SISU) was successfully held in Room 2220, Songjiang Campus. At the invitation of the School, Daniel H. Silberberg Professor of Statistics and Data Science at the Wharton School gave a lecture entitled "Data Intelligence: Opportunities and Challenges". Dozens of professors, faculty, doctoral students, graduate students and undergraduate students attended the lecture.

Tony Cai, Associate Dean of the Wharton School of the University of Pennsylvania from 2017 to 2020, was elected as a Fellow of the International Statistical Institute in 2006, received the COPSS Presidents' Award in 2008, and was elected as the President of the Pan-China Statistical Association (ICSA) in 2017. He has served as the editor-in-chief of Annals of Statistics, a leading international journal in statistics, and on the editorial boards of several prestigious journals.

Professor Cai's main research interests are in big data analysis, including high-dimensional statistical inference, statistical machine learning, large-scale hypothesis testing, functional data analysis, statistical decision theory, non-parametric function estimation, and applications to genomic and financial engineering. He has received 8 consecutive NSF grants since 2000, NIH grants in 2012 and 2017, and a Wharton School Global Initiative grant in 2016.

In this lecture, Professor Cai first introduced Penn and its famous alumni, and then mentioned the impact of the technological revolution on human beings and traditional employment. Prof. Cai used insightful and appropriate examples to illustrate that it can help people reach deeper and broader areas, such as personalized medicine that can provide optimal medical decisions to anyone, anywhere, thus transcending the limits of time and space, but artificial intelligence also poses a threat to humans, such as the large amount of data that can learn personal behavior and analyze people's personality preferences extremely easily to develop precise The privacy and preferences will be revealed.

In the second part, the professor asks the question, how can data analysis be conducted in a private and efficient manner? The general goal of data analysis is accuracy and speed, so how to make the trade-off between accuracy and speed?

Next, the professor made a summary, the world is in a hundred years of unprecedented changes, the competition of big countries is essentially the competition of technology, artificial intelligence is one of the most core technologies, it is still in the primary stage, talent training is the most important task at present, the future is data plus algorithm plus application.

During the Q&A session, teachers and students actively asked questions about the direction of professional development and research in related fields, and Professor Cai answered them patiently and carefully. Finally, Prof. Pan Yu and Prof. Cai Tianwen discussed about the future cooperation and the lecture was successfully concluded.

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