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Forum Hall, Palmer Commons

May 2018

MIDAS Health Sciences Challenge Symposium

May 1, 2018 @ 9:00 am - 3:00 pm

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… Continue Reading MIDAS Health Sciences Challenge Symposium

February 2019

The 2nd Annual Data for Public Good Symposium

February 19, 2019 @ 10:00 am - 4:30 pm

Do you have experience in working alongside community partners in data analysis or program evaluation? Do you want to connect with others who are using their skills for public good?… Continue Reading The 2nd Annual Data for Public Good Symposium

April 2019

DCMB Seminar

April 10, 2019 @ 4:00 pm - 5:00 pm

  The Role of Deep Learning in Ophthalmology: Applications in Ophthalmic Imaging and¬†Surgical Implant Selection     Nambi Nallasamy, M.D. Assistant Professor, Ophthalmology Michigan Medicine Comprehensive Ophthalmology Clinic W.K. Kellogg… Continue Reading DCMB Seminar

October 2019

MIDAS Seminar Series Presents: Smita Krishnaswamy, Detection structure and patterns in big biomedical data

October 4, 2019 @ 3:00 pm - 4:00 pm

Smita Krishnaswamy, Assistant Professor, Genetics and Computer Science, Yale School of Medicine Recording Title: Learning Representations for Enabling Insight Into Big Biomedical Data Abstract: High-throughput, high-dimensional data have become ubiquitous… Continue Reading MIDAS Seminar Series Presents: Smita Krishnaswamy, Detection structure and patterns in big biomedical data

November 2019

MIDAS Seminar Series Presents: Gerald Quon – University of California, Davis

November 19, 2019 @ 2:00 pm - 3:00 pm

Gerald Quon Assistant Professor, Department of Molecular and Cellular Biology University of California, Davis Quantifying cell type-specific changes in transcriptional state and gene co-regulation across multiple datasets using scRNA-seq  … Continue Reading MIDAS Seminar Series Presents: Gerald Quon – University of California, Davis