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. […]

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 […]

HSPH Biostatistics and DFCI Data Science Colloquium Monday March 10th at 4:00pm HSPH Kresge G2 Eric Sun PhD Candidate, Department of Biomedical Informatics Stanford University Aging is a highly complex process and the greatest risk factor for many chronic diseases including cardiovascular disease, dementia, stroke, diabetes, and cancer. Recent spatial and single-cell omics technologies have […]

HSPH Biostatistics and DFCI Data Science Colloquium Tuesday March 11th at 4:00pm HSPH FXB G12 Yusha Liu, PhD Research Assistant Professor Department of Biostatistics The University of North Carolina at Chapel Hill Profiling tumors with single-cell RNA sequencing has the potential to identify recurrent patterns of transcription variation related to cancer progression, and to produce […]