Please join us for the Women in Big Data at Michigan symposium. 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.

Save the date: 8:30 a.m. – 4:30 p.m., Monday, November 12, 2018, in the Michigan League.

Please fill out the registration form if you plan to attend. (Add to Google Calendar)

Keynote Speaker

Xihong Lin
Henry Pickering Walcott Professor of Biostatistics
Chair, Department 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.

U-M Speakers

Presenters Panel Participants

“Charting a Career in Data Science”

Jenna Wiens, Computer Science and Engineering Moderator: Liza Levina, Statistics
Snigdha Panagrahi, Statistics Bhramar Mukherjee, Biostatistics
Heather Mayes, Chemical Engineering Rada Mihalcea, Computer Science and Engineering
Danai Koutra, Computer Science and Engineering Amy Cohn, Industrial and Operations Engineering
Veronica Berrocal, Biostatistics Rocio Titiunik, Political Science
Maureen Sartor, DCMB Jennifer Linderman, Chemical Engineering

Schedule

9 a.m.: Registration and Welcome

9:30 a.m.: Keyote Address, Xihong Lin

11 a.m.: Research talks, U-M faculty members

Noon: Lunch with roundtable discussions on academia and industry

1:30 p.m.: Poster Session

2:30 p.m.: Presentation on U-M Data Science Resources: CSCAR, ARC-TS, ADVANCE

3 p.m.: Panel Discussion: Charting a Career in Data Science