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Noah Zaitlen is an associate professor at UCLA's lab for computational medical genomics, dedicated to improving health by identifying and characterizing processes disrupted in human disease, which are mitigated through clinical treatments. His lab collaborates closely with clinical neurologists and molecular biologists, generating primary functional genomic data tied to individual patients' medical records across national and international medical institutions. Recent work focuses on identifying disease subtypes, distinct biological mechanisms, prognoses, and treatment responses. Zaitlen's efforts rely on the development of novel statistical methods applied to high-dimensional genomic data collected from phenotypes of large patient populations, with the ultimate goal of translating findings into effective medical care. His lab's expertise spans diverse fields including applied mathematics, computer science, biostatistics, bioinformatics, evolutionary biology, and functional genomics. Zaitlen earned his PhD in bioinformatics and systems biology from the University of California, San Francisco, and completed postdoctoral training at Harvard School of Public Health. His work has been supported by the ALS Association and the National Institutes of Health. Recently, he received a five-year grant from NIH's National Human Genome Research Institute as part of the newly established Impact of Genomic Variation on Function Consortium.
UCLA • Los Angeles, CA
Leading the lab for computational medical genomics.
Department of Economics admits primarily for the PhD program.