Khatri Lab
Purvesh Khatri, PhD.
Professor of Medicine, Computational Medicine – Institute for Immunity, Transplantation and Infection
Dr. Khatri is a faculty member in Institute for Immunity, Transplantation and Infection (ITI) and the Division of Computational Medicine in Department of Medicine at Stanford University. His research focuses on the intersection of machine learning, computational immunology, and translational medicine with the overarching goal of accelerating translation of immune response-based diagnostics and therapies to clinical practice across a broad spectrum of inflammatory diseases, including infections, autoimmune diseases, organ transplant, cancers, and vaccines. His lab develops machine learning-based methods and computational frameworks to leverage biological, clinical, and technical heterogeneity across multiple datasets to identify robust disease signatures and identify novel therapies for inflammatory conditions.
Yiran Liu
Yiran is a PhD student in Epidemiology studying the incarceration-associated burden of infectious diseases and mortality. In the Khatri lab, she has done research identifying immunological biomarkers of risk and protection following infection and vaccination.
Andrew Reese Moore
Andrew Moore is a pulmonary and critical care medicine post-doctoral fellow at Stanford. He grew up in Virginia and completed his Bachelors in neuroscience at the College of William and Mary followed by his MD at the University of Virginia School of Medicine and his residency and chief residency here at Stanford. As a fellow here, his research focuses on the use of bioinformatics to develop better diagnostic and prognostic tools to enable personalized treatment of immune dysfunction in critical care syndromes like septic shock and acute respiratory distress syndrome. When not in the lab or hospital, you can find him biking or hiking in the surrounding area.
Hong Zheng
Dr. Hong Zheng is a staff scientist in Khatri lab. She completed her Ph.D. in cancer genomics and clinical oncology from The University of Hong Kong. Her research focuses on using computational biology and machine learning approaches to understand the multi-omics landscape (genomics, epigenomics, transcriptomics, etc.) and immune responses in human diseases (cancer, aging, infectious diseases, etc.), and identify robust gene signatures and targets for disease diagnostics, prognostics, and therapeutics.