MIDAS Health Sciences Challenge Symposium
May 1 @ 9:00 am - 3:00 pm
Forum Hall, Palmer Commons
Data-intensive health science is one of the research focus areas that MIDAS supports with its Challenge Awards. Our long-term goal is to support this research area more broadly, using the Challenge Award projects as the starting point to build a critical mass. This symposium offers a platform for all participants to explore collaboration opportunities and aims to attract more researchers to our hub. It will feature in-depth presentations from three Challenge Award teams, and all participants are encouraged to submit posters on data-intensive health science research.
9 am to 12:45 pm: Challenge Award presentations
- Michigan Integrated Center for Health Analytics and Medical Prediction, Brahmajee Nallamothu and team
- Michigan Center for Single-Cell Genomic Analytics, Jun Li, Anna Gilbert and team
- Identifying Real-Time Data Predictors of Stress and Depression Using Mobile Technology, Srijan Sen and team
12:45 pm to 2:15 pm: lunch, poster session and networking [poster dimensions: 6ft wide X 4ft height]
2:15 pm: Panel discussion: the future of Data-intensive Health Sciences at U-M
For questions: firstname.lastname@example.org.