Profile
Dr. Noah Zaitlen is the principal investigator in a UCLA lab for computational and medical genomics that aims to improve health by identifying and characterizing the processes that are disrupted in human disease and mitigated through clinical treatments. His lab collaborates closely with both clinical neurologists and molecular biologists, generating primary functional genomic data tied to individual patients’ medical records from national and international medical institutions. Recent efforts have focused on identifying disease subtypes that have distinct biological mechanisms, prognoses, and treatment responses. These efforts rely on the development of novel statistical methods applied to high-dimensional genomic data and precisely collected phenotypes in large numbers of patients, with the ultimate goal of translating the findings to more effective medical care. The lab’s expertise draws from diverse fields including applied math, computer science, biostatistics, bioinformatics, evolutionary biology, medicine, and functional genomics. Dr. Zaitlen earned a PhD in bioinformatics and systems biology from the University of California, San Francisco, and he completed postdoctoral training at the Harvard School of Public Health. His work is supported by the ALS Association and the National Institutes of Health.
Dr. Noah Zaitlen is the principal investigator in a UCLA lab for computational and medical genomics that aims to improve health by identifying and characterizing the processes that are disrupted in human disease and mitigated through clinical treatments. His lab collaborates closely with both clinical neurologists and molecular biologists, generating primary functional genomic data tied to individual patients’ medical records from national and international medical institutions. Recent efforts have focused on identifying disease subtypes that have distinct biological mechanisms, prognoses, and treatment responses. These efforts rely on the development of novel statistical methods applied to high-dimensional genomic data and precisely collected phenotypes in large numbers of patients, with the ultimate goal of translating the findings to more effective medical care. The lab’s expertise draws from diverse fields including applied math, computer science, biostatistics, bioinformatics, evolutionary biology, medicine, and functional genomics. Dr. Zaitlen earned a Ph.D. in bioinformatics and systems biology from the University of California, San Francisco, and he completed postdoctoral training at the Harvard School of Public Health. His work is supported by the ALS Association and the National Institutes of Health.
Prof. Zaitlen recently received a five-year grant by NIH’s National Human Genome Research Institute as part of its newly established Impact of Genomic Variation on Function (IGVF) Consortium.