Advancing data science to accelerate biomedical research and improve human health
BMI graduate students, Kwangmoon Park (3rd year with Sunduz Keles) and Soham Ghosh (2nd year with Guanhua Chen) won two of the five 2023 ASA Section on Statistics in Genomics and Genetics (SGG) Student Paper Awards.
Both students will present their papers at JSM and will receive their awards at the SGG business meeting. Kwangmoon will also present his work at ENAR.
Kwangmoon's paper is titled "Joint tensor analysis of single cell 3D genome and epigentic data with muscle," based on work supervised by Sunduz Keles.
Soham's paper is titled "A flexible generative model based knockoff filter for selecting microbial biomarkers with FDR control," and is based on work supervised by Guanhua Chen and Zhengzheng Tang.
Congratulations to both students and to their advisors!
The Department of Biostatistics & Medical Informatics (BMI) is the home of data science for the University of Wisconsin-Madison School of Medicine & Public Health (UW SMPH), an academic medical center. BMI is a leading research hub and training center for biomedical data sciences, including biostatistics and biomedical informatics. BMI investigators are engaged in basic discovery science, clinical trials, image analysis, genomics, computational biology, and population studies, and they advance research throughout the SMPH. This research is often multi-faceted and collaborative, and faculty have joint or affiliate appointments with many other campus units: Statistics, Computer Sciences, Population Health Sciences, Electrical and Computer Engineering, the Morgridge Institute for Research, and the Wisconsin Institute for Discovery.
BMI faculty and research staff provide consultation and collaboration in the planning, design, conduct, and analysis of basic, translational, and clinical research.
PhD in Biomedical Data Science
The current explosion of biomedical data, including Electronic medical records (EHR), biomedical imaging, and genomics/proteomics/metabolomics, provide an awesome opportunity to improve understanding of the mechanisms of disease and ultimately to improve human health care. The Doctoral Degree Program in Biomedical Data Science will provide you with a unique blend of skills including programming, data management, data analysis, and machine learning. Successful graduates will be prepared to fully harness the power of high-dimensional, heterogeneous data. Potential students include both students with bachelor’s degrees in an area of data-science (e.g., computer science, statistics), as well as health professionals, clinicians, and others with degrees related to biomedicine (e.g., biology, biochemistry, genetics). Consider applying today!
News and Events
BMI graduate students, Kwangmoon Park (3rd year with Sunduz Keles) and Soham Ghosh (2nd year with Guanhua Chen) won two of the five 2023 ASA Section on Statistics in Genomics and Genetics (SGG) Student Paper …January 25, 2023
Congratulations to Michael Newton and Zihao Zheng, one of his graduate students, for their contributions to a team that won a 2022 WARF Innovation Award! Sara McCoy and Miriam Shelef, both in the Department of …December 15, 2022
- More News posts