Nandita Garud is an Associate Professor at UCLA with 11 years of experience bridging evolutionary biology, human genetics, and quantitative analysis to study natural population evolution in systems like the human gut microbiome and Drosophila. Trained with a Ph.D. in Genetics and an M.S. in Statistics from Stanford and a BS in Computational Biology from Cornell, she combines deep theoretical population-genetics expertise with data-driven approaches. Her trajectory includes postdoctoral work at UCSF, a data science internship in industry, and a Fulbright scholarship, reflecting fluency in both academic and applied settings. Known for probing evolution at multiple scales, she runs a lab that integrates computational methods and experimental genetics to reveal rapid adaptive dynamics often missed by conventional analyses.
11 years of coding experience
6 years of employment as a software developer
Bachelor of Science (B.S.) Computational Biology Biometry and Statistics, Bachelor of Science (B.S.) Computational Biology Biometry and Statistics at Cornell University
Stuyvesant High School
Doctor of Philosophy (Ph.D.) Genetics, Doctor of Philosophy (Ph.D.) Genetics at Stanford University
Contributions:19 commits, 5 pushes, 3 comments in 3 years 10 months
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