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Data Science CoLab

The Data Science CoLab is a collaboration-based research lab with a focus on systems immunology and computational methods development. Our research centers on understanding patient immune state using single-cell methods, primarily CyTOF and single-cell sequencing, in a variety of contexts including infection, cancer, and at steady-state. We also study the interactions between the immune system and the microbiome at the systems level. We facilitate close collaborations between experimental and computational biologists and provide tools and training for biologists who want to better engage with their data.

Recent DS Publications

Authors: Pickering Harry, Schaenman Joanna, Phan Hoang Van, Maguire Cole, Tsitsiklis Alexandra, Rouphael Nadine, Higuita Nelson Iván Agudelo, Atkinson Mark A., Brakenridge Scott, Fung Monica, Messer William, Reed Elaine F., Rivera Adreanne M., Pickering Harry, Sen Subha, Elashoff David, Ward Dawn C., Brook Jenny, Ramires-Sanchez Estefania, Llamas Megan, Perdomo Claudia, Magyar Clara E., Fulcher Jennifer, Erle David J., Calfee Carolyn S., Hendrickson Carolyn M., Kangelaris Kirsten N., Nguyen Viet, Lee Deanna, Chak Suzanna, Ghale Rajani, Gonzalez Ana, Jauregui Alejandra, Leroux Carolyn, Altamirano Luz Torres, Rashid Ahmad Sadeed, Willmore Andrew, Woodruff Prescott G., Krummel Matthew F., Carrillo Sidney, Ward Alyssa, Patel Ravi, Wilson Michael, Dandekar Ravi, Alvarenga Bonny, Rajan Jayant, Schroeder Andrew W., Fragiadakis Gabriela K.
January 2025

Learn about CoProjects, Incubators, and Plug-in Labs

CoProjects are a series of shared projects designed to integrate our community through common pipelines and data curation. CoLabs CoProjects aim to build immune profiles for untapped streams of human diseases at UCSF.