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Single-cell Multi-sample Multi-condition Data Integration to Uncover Disease Signatures

Harvard TH Chan School of Public Health, FXB G13 677 Huntington Ave, Boston, MA, United States

HSPH Biostatistics and DFCI Data Science Colloquium Thursday February 27th at 4pm HSPH FXB Room G13 Yingxin Lin, PhD Postdoctoral Associate in the Department of Biostatistics at the Yale School of Public Health The recent emergence of multi-sample multi-condition single-cell multi cohort studies allows researchers to investigate different cell states. The effective integration of multiple […]

How Do Neural Networks Learn Features From Data?

Harvard TH Chan School of Public Health 677 Huntington Ave, Boston, MA

HSPH Biostatistics and DFCI Data Science Colloquium Monday March 3rd at 4:00pm HSPH Kresge G2 Adityanarayanan Radhakrishnan Eric and Wendy Schmidt Center Postdoctoral Fellow, Broad Institute of MIT and Harvard, Harvard School of Engineering and Applied Sciences Abstract: Understanding how neural networks learn features, or relevant patterns in data, is key to accelerating scientific discovery. […]

Universal Prediction of Cell-cycle Position Using Transfer Learning

Harvard TH Chan School of Public Health, FXB G13 677 Huntington Ave, Boston, MA, United States

HSPH Biostatistics and DFCI Data Science Colloquium Thursday, March 6, 2025 4:00pm Harvard TH Chan School of Public Health, FXB G13 Kasper Hansen, PhD Associate Professor, McKusick-Nathans Insitute of Genetic Medicine, Department of Biostatistics, Johns Hopkins University A significant barrier to progress in biomedical data science is the development of prediction models that work across contexts such […]