NSF/CBMS Conference in the Mathematical Sciences: Statistical Inference from Genetic Data on Pedigrees to be held July 19-23, 1999 in Houghton, Michigan

NSF-CBMS数学科学区域会议将由华盛顿大学的伊丽莎白·汤普森担任首席讲师，她将发表十场主旨演讲，向与会者介绍使用最先进的统计技术分析人类基因数据的方法。汤普森教授的演讲所涵盖的领域将是统计学、概率、遗传学和分子生物学等领域的交汇点，而该项目内在的跨学科性质将使其对统计学家、数学家和定量生物学家特别有吸引力。汤普森教授是一位著名的研究员，在统计遗传学方面发表了一系列令人印象深刻的关键论文。作为一名讲师，她广受尊敬，最近在联合统计会议上发表了两次主旨演讲。她的演讲将成为数理统计研究所即将出版的专著《人类遗传数据的现代推断方法》的基础。这次会议将于1999年7月19日至23日在霍顿的密歇根技术大学举行，与会者将有多个领域的知名研究人员和新进入者；妇女、少数族裔、研究生和REU本科生；来自非研究密集型学校的人员和希望进入该领域的人。与会者将住在宿舍或大学公寓，并将特别注意会议后的互动和合作。会议期间将安排几项有组织的社交活动。会议的总体目标是促进深入学习深入的统计学方法，并继续侧重于一个极其重要的生物学应用。

The NSF-CBMS Regional Conference in the Mathematical Sciences ``Statistical Inference from Genetic Data on Pedigrees'' will feature, as Principal Lecturer, Elizabeth Thompson of the University of Washington, who will deliver ten keynote lectures that expose attendees to methods for using state-of-the-art statistical techniques to analyze human genetic data. The areas covered by Professor Thompson's lectures will lie at the confluence of the fields of statistics, probability, genetics and molecular biology, and the intrinsic interdisciplinarity of the project will make it particularly attractive to statisticians, mathematicians, and quantitative biologists alike. Professor Thompson is a renowned researcher with an impressive array ofkey publications in statistical genetics. She is widely respected as a lecturer, having recently delivered two keynote addresses at the Joint Statistics Meetings. Her lectures will form the basis of the monograph``Meioses, Pedigrees and Populations: Modern Inference Methods for Human Genetic Data'' that will be published by the Institute for Mathematical Statistics. A diverse group of attendees will attend the conference, which will be held July 19--23 1999 at Michigan Technological University in Houghton: present will be established researchers and new entrants in several fields; women, minorities, graduate students and REU-undergraduates; persons from non research-intensive schools and persons wishing to enter the area. Participants will be housed in dormitory rooms or university apartments, and special attention will be paid to post-conference interaction and collaboration. Several organized social activities will be planned during the conference. The overall objective of the conference is to facilitate the learning of incisive statistical methodology in a contextual fashion, with a continual focus on a vitally important biological application.