UCSF’s innovative, collaborative approach to patient care, research and education spans disciplines across the life sciences, making it a world leader in scientific discovery and its translation to improving health.
My research is focused on diagnostics, biomarker discovery, data science and digital health to improve TB care, with a particular interest in childhood TB. I am part of the END Childhood TB Study in Kampala, Uganda to evaluate novel non-sputum, biomarker-based tests for pediatric intra-thoracic TB. In biomarker discovery, I am working to identify a urine-based proteomic biosignature for diagnosing childhood TB, and I am part of the COMBO study to examine other novel pathogen and host biomarkers for TB diagnosis in children.
Dr. Javid is a physician-scientist, Wellcome Trust Investigator and Associate Professor in the Division of Experimental Medicine at UCSF. His research focuses on fundamental mycobacterial pathophysiology, regulation of adaptive protein synthesis, molecular mechanisms of antibiotic tolerance and human humoral immunity to tuberculosis. He went to medical school at the University of Cambridge, and after residency in general (internal) medicine returned to Cambridge to study for a PhD in immunobiology as an MRC training fellow. Following fellowship in infectious diseases, Dr.
I lead the Mycobacterium tuberculosis research laboratory at Zuckerberg San Francisco General Hospital. The first goal of my laboratory is to fundamentally advance molecular diagnostics for pre-XDR and XDR TB by identifying new biomarkers of drug resistance in a rapid and unbiased manner, and by identifying causes that may decrease the efficiency of molecular methods such as the presence of hetero-resistance. The second goal is to determine the contribution of bacterial factors in the transmission and pathogenesis of tuberculosis.
Dr. Andew Kerkhoff is a physician-scientist and an Assistant Professor of Medicine in the Division of HIV, Infectious Diseases, and Global Medicine at Zuckerberg San Francisco General Hospital (ZSFG). His research has two main focuses: (1) He has more than a decade of experience evaluating novel tests and strategies to improve the diagnosis of tuberculosis (TB) in sub-Saharan Africa, with a focus on low-cost, point-of-care tools.
My lab at UCSF focuses on developing and applying quantitative, systematic proteomic and genetic approaches to study complex biological and biomedical problems. At present time, my group is focused on studying cancer, infectious disease, including tuberculosis, and psychiatric disorders.
The Kutys Lab spans disciplinary boundaries between cell biology and engineering to investigate tissue morphogenic processes associated with human development, regeneration and disease. Ultimately, we are interested in uncovering fundamental molecular and mechanical mechanisms that conspire across time and length scales to organize and shape human tissues.
I am a health and development economist working with Drs. Priya Shete and Adithya Cattamanchi in the Division of Pulmonary & Critical Care and with Dr. Brie Williams and the Amend team in the Center for Vulnerable Populations. My research focuses on evaluating health systems interventions and programs, often ones related to measuring quality and equity of care delivery. Methodologically, I utilize randomization, quasi-experiments, and complex surveys, such as simulated standardized patients, to assess the effects and implications of scaling up related health programs.
My lab employs metagenomic sequencing technologies to advance understanding of infectious and pulmonary disease pathophysiology, develop new diagnostics based on host and microbe transcriptional profiling, and track the transmission of pathogens during outbreaks. I am a co-investigator on an NIAID R01-funded study that is employing a novel combination of metagenomic next-generation sequencing coupled with a CRISPR/Cas9-based targeted enrichment method to detect TB and antimicrobial resistance genes in cerebrospinal fluid from patients with suspected TB meningitis while also performing long