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The Laboratory for Statistical Translational Genomics employs statistical and computational methods to unravel cellular heterogeneity in human diseases across relevant tissues. The lab focuses on characterizing the genomic and molecular diversity of various cell types and exploring the dynamics of cell state transitions and intercellular communication. Research includes the development of innovative statistical and machine learning tools to address complex genetic and genomic queries, collaborating with fellow researchers to identify susceptibility genes associated with specific cell types. The research team investigates a range of human diseases, including age-related macular degeneration, Alzheimer's disease, atherosclerosis, heart disease, chronic kidney disease, and testicular cancer, as well as developing gene therapies for rare diseases. Their findings contribute to cell-specific functional studies and in vivo modeling, aiming for precision therapeutic strategies for human health issues.
Laboratory for Statistical Translational Genomics • Philadelphia, PA
Conducted research on statistical and computational methods for analyzing genomic data related to human diseases.
Wharton Doctoral programs cover fields like Finance, Marketing, Management, and Operations, Information and Decisions.