报告题目：Mining big genomic data to comprehend complex diseases (复杂疾病的基因组大数据挖掘)

报告人：万翔 博士

时间：2017年7月11日15:00

地点：工科楼E座1711

报告内容：Many common human diseases, such as type-1 and type-2 diabetes, depression, schizophrenia, and prostate cancer, are influenced by several genetic and environmental factors. Recent technological breakthroughs in life sciences have changed the world in ways never  seen before by the generation of vast amount of genomic data. The rise of big data in genomics provides us unprecedented opportunities to uncover the mystery of biological mechanisms in complex diseases. However, most of the genetic factors that have been identified contribute relatively small increments of risk and only explain a small portion of the genetic variation in complex diseases. As high-throughput data acquisition becomes popular in biomedical research, it is timely to propose some novel approaches to mining the large-scale genomic data to find new genetic patterns.

报告人简介：万翔，香港浸会大学研究助理教授，主要研究方向包括高维数据分析，模式识别和生物信息数据的整合分析。万博士于2006年在University of Alberta获得计算机博士学位，2007年到2011年在香港科技大学从事生物信息博士后研究。迄今为止，在国际著名期刊《American Journal of Human Genetics》，《Nature Genetics》, 《Bioinformatics》，《BMC Bioinformatics》, 《IEEE/ACM Transactions on Computational Biology and Bioinformatics》, 《Neuroinformatics》等上发表近40多篇高水平学术论文。

 计算机与通信工程学院  科技处  研究生院

2017年7月8日