第十届“中国人民大学国际统计论坛”（RUC IFS 2025）将于2025年7月4-6日在中国人民大学召开。大会邀请美国、澳大利亚等国家和地区的知名学者参会，将就“统计学发展史、数理统计、数据科学与人工智能、生物统计学前沿探究、政府统计、金融统计”等问题展开深入交流与讨论。

本次介绍主题报告人Mukherjee Bhramar，报告主题为“The Importance of Statistical Thinking in an AI-augmented World”。

Mukherjee Bhramar

Title

The Importance of Statistical Thinking in an AI-augmented World

Abstract

In this presentation, I will first delve into the obvious: AI algorithms and systems developed on exclusionary datasets can lead to erroneous conclusions and misguided policies. However, while we strive for data equity and wait for the ideal scenario of globally representative and extensive datasets or training corpora, statisticians play a pivotal role in mitigating systematic sources of bias in analyzing LARGE healthcare data—an expertise that few other quantitative disciplines possess. I will illustrate my point by two examples: (1) Handling selection bias in analyzing electronic health records (2) Combining data across multiple biobanks/healthcare systems under heterogenous sampling strategies.  I will conclude the talk with a call to arms for statisticians to lead efforts for creating, curating, collecting data and pioneering new scientific studies, not just remain on the design and analytic fringes. As public health statisticians, our job is not just to predict efficiently, but to prevent effectively.

Biography

Professor Bhramar Mukherjee is appointed as Anna M.R. Lauder Professor of Biostatistics and Professor of Chronic Disease Epidemiology at the Yale School of Public Health. Professor Mukherjee serves as the inaugural Senior Associate Dean of Public Health Data Science and Data Equity at the school. She holds a secondary appointment in the Department of Statistics and Data Science at Yale. Prior to joining Yale University in 2024, Dr. Mukherjee built a distinguished career at the University of Michigan where she was appointed as John D. Kalbfleisch Distinguished University Professor of Biostatistics and the first woman Chair of the Department of Biostatistics (2018-2024). She is known for her contribution to statistical methods for integration of genetic, environmental and disease data from large healthcare databases. She is winner of many awards, including the 2023 Karl Peace award from the ASA for betterment of society through statistics, the 2024 Marvin Zelen Leadership in Statistical science award from Harvard Biostatistics. She is a fellow of the ASA, AAAS and an elected member of the US National Academy of Medicine. She has written more than 400 articles and supervised 22 PhD and 4 post-doctoral scholars. She is the founding director of a flagship undergraduate summer program on big data. She is the President elect for ENAR, an eminent professional society for biostatisticians.