Women in Big Data at Michigan Symposium
November 12 @ 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 EngineeringModerator: Liza Levina, StatisticsSnigdha Panagrahi, StatisticsBhramar Mukherjee, BiostatisticsHeather Mayes, Chemical EngineeringRada Mihalcea, Computer Science and EngineeringDanai Koutra, Computer Science and EngineeringAmy Cohn, Industrial and Operations EngineeringVeronica Berrocal, BiostatisticsRocio Titiunik, Political ScienceMaureen Sartor, DCMBJennifer Linderman, Chemical Engineering