Please join us for the Women in Big Data at Michigan symposium at the Michigan League. This day-long symposium will highlight women data science researchers at U-M, and provide resources and support for women pursuing careers in data science.
Henry Pickering Walcott Professor of Biostatistics
Harvard T.H. Chan School of Public Health
Dr. Lin’s research focuses on the development and application of statistical and computational methods to analyze high-throughput genetic and genomic data in epidemiological, environmental and clinical studies, and to analyze complex exposure and phenotype data in observational studies.
Title: Analysis of Massive Data from Genome, Exposome and Phenome: Challenges and Opportunities
Abstract: Massive data from genome, exposome, and phenome are becoming available at an increasing rate with no apparent end in sight. Examples include Whole Genome Sequencing data, smartphone data, wearable devices, Electronic Medical Records and biobanks. The emerging field of Health Data Science presents statisticians and quantitative scientists with many exciting research and training opportunities and challenges. Success in health data science requires scalable statistical inference integrated with computational science, information science and domain science. In this talk, I discuss some of such challenges and opportunities, and emphasize the importance of incorporating domain knowledge in health data science method development and application. I illustrate the key points using several use cases, including analysis of data from Whole Genome Sequencing (WGS) association studies, integrative analysis of different types and sources of data using causal mediation analysis, analysis of multiple phenotypes (pleiotropy) using biobanks and Electronic Medical Records (EMRs), reproducible and replicable research, and cloud computing.
|Veronica Berrocal, Biostatistics||Moderator: Liza Levina, Statistics|
|Danai Koutra, Computer Science & Engineering||Amy Cohn, Industrial & Operations Engineering|
|Heather Mayes, Chemical Engineering||Xihong Lin, Biostatistics, Harvard University|
|Snigdha Panigrahi, Statistics||Jennifer Linderman, Chemical Engineering|
|Maureen Sartor, Computational Medicine & Bioinformatics||Rada Mihalcea, Computer Science & Engineering|
|Jenna Wiens, Computer Science & Engineering||Bhramar Mukherjee, Biostatistics|
|Rocio Titiunik, Political Science|
8:30 a.m.: Registration & Breakfast
9:15 a.m.: Welcome
9:30 a.m.: Keynote Address, Xihong Lin
11 a.m.: Research lightning talks, U-M faculty members
Noon: Lunch with roundtable discussions on academia and industry
1:30 p.m.: Poster Session
3 p.m.: Panel Discussion: In conversation with senior women data scientists
Thank you to our generous sponsors