معرفی
Dr. Khushi Goda is a Postdoctoral Fellow in the Department of Genetics and Biochemistry at Clemson University's College of Science. Her research focuses on statistical genetics methodologies, including polygenic modeling of human health traits using biobank data and optimization algorithms for forest tree breeding programs. Recent publications demonstrate innovations in reducing bias in genetic epidemiology and developing computational tools like AgMate for breeding optimization.
Research spans human genetics (blood pressure trait analysis via UK Biobank) and forestry genetics (Pinus taeda breeding), employing advanced statistical and computational approaches to address challenges in precision medicine and sustainable agriculture.
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