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上海数学中心研究生招生宣讲报告

上海数学中心研究生招生宣讲报告(一)

报告题目:上海数学中心的今天和明天

报  告 人:李骏 教授

报告时间:2020/6/7 10:00-10:30

报告地点:腾讯会议,会议ID:996 600 647,会议密码:112358

报告摘要:报告将简要介绍上海数学中心的起源,中心今天的学习、科研及人才成长环境,上海应用数学中心的建设,然后介绍中心统计学科团队。

报告人简介:李骏教授,1989年博士毕业于美国哈佛大学;1995-2019年任斯坦福大学数学系助理教授、副教授、教授;2019年3月全职任上海数学中心首席教授、复旦大学教授、上海数学中心主任。

 

上海数学中心研究生招生宣讲报告(二)

Talk Title: Learning survival from EMR/EHR data to estimate treatment effects using high dimensional claims codes

Speaker: Prof. Ronghui XU

Time: 2020/6/7 10:30-11:10

Tencent Meeting Info: Conference ID: 996 600 647, PIN Code: 112358

Abstract: Our work was motivated by the analysis projects using the linked US SEER-Medicare database to studying treatment effects in men of age 65 years or older who were diagnosed with prostate cancer. Such data sets contain up to 100,000 human subjects and over 20,000 claim codes. The data were obviously not randomized with regard to the treatment of interest, for example, radical prostatectomy versus conservative treatment. Informed by previous instrumental variable (IV) analysis, we know that confounding most likely exists beyond the commonly captured clinical variables in the database, and meanwhile the high dimensional claims codes have been shown to contain rich information about the patients’ survival. Hence we aim to incorporate the high dimensional claims codes into the estimation of the treatment effect. The orthogonal score method is one that can be used for treatment effect estimation and inference assuming only consistency under the high dimensional hazards outcome model and the high dimensional conditional treatment model. In addition, we show that further refinement of the approach has doubly-robust properties in high dimensions including one on sparsity.

Bio: Xu earned her Ph.D. in mathematics and a master’s in applied mathematics from UC San Diego, and her bachelor’s in math from Nankai University, China.

She was a postgraduate researcher at the UCSD Cancer Center and in the Department of Mathematics, before becoming an Assistant Professor of Biostatistics at Harvard School of Public Health and the Dana-Farber Cancer Institute. Among her academic honors are being awarded as a Fellow of the American Statistical Association (ASA), and a recipient of the ASA David P. Byar Young Investigator Award.

Applying her data science and mathematical expertise to the emergence of biomedical Big Data, Xu utilizes machine learning methods to develop predictions, as well as statistical inference for complex data types. Her interdisciplinary work includes investigating such data analysis as competing risks of cancer versus non-cancer mortality, in the presence of high dimensional covariates. Her research also includes focus on causal inference methodology, for complex data types and for rare events such as in pregnancy safety data.

 

上海数学中心研究生招生宣讲报告(三)

报告题目:代数几何的发展简介

报  告 人:李骏 教授

报告时间:2020/6/7 19:00-19:30

报告地点:腾讯会议,会议ID:874 776 652,会议密码:112358

报告摘要:

       在正式报告之前,将简要地介绍上海数学中心的发展历程及主要的基础数学研究团队。然后,将从代数几何的历史发展看几何与代数怎样影响、引导及推动代数几何的发展,同时展望我国代数几何未来的发展前景。

报告人简介:

       李骏教授,1989年博士毕业于美国哈佛大学;1995-2019年任斯坦福大学数学系助理教授、副教授、教授;2019年3月全职任上海数学中心首席教授、复旦大学教授、上海数学中心主任。

       李骏的研究方向为代数几何。他在代数几何模空间的研究中取得了一系列重要成果,是国际领头人。他的成果发表在包括顶尖杂志JAMS和Invent等在内的重要国际数学期刊上。他1994年应邀在苏黎世国际数学家大会(ICM)作45分钟报告,2001年获ICCM晨兴数学金奖。

 

上海数学中心研究生招生宣讲报告(四)

报告题目:低维动力系统中的吸引子和不变测度

报  告 人:沈维孝 教授

报告时间:2020/6/7 19:40-20:10

报告地点:腾讯会议,会议ID:874 776 652,会议密码:112358

报告摘要:本报告围绕吸引子和不变测度这两个核心概念,介绍低维动力系统的发展历史和研究现状。

报告人简介:沈维孝,上海数学中心、复旦大学数学科学学院教授,研究领域为动力系统。他在低维动力系统及相关领域取得了一系列突破性成果,在顶尖数学期刊Ann Math和Invent Math上发表多篇论文。他是2009年中国数学会陈省身奖获得者,2014年国际数学家大会邀请报告人。

 

若参会人数超过上限,无法参会者可观看会议直播:

报告一、二:https://meeting.tencent.com/l/6NoQj2YVL828

报告三、四:https://meeting.tencent.com/l/8AdJowzDm0D4

 

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