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Women in Big Data at Michigan Symposium
November 12, 2018 @ 8:30 am - 4:30 pm
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, provide resources and support for women pursuing careers in data science, a poster session, lunch time round table discussions, a faculty panel, and ample time for networking.
Please fill out the registration form if you plan to attend and consider submitting a poster.
For more information, see the event page at https://midas.umich.edu/2018-wbdm/.
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.
“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|