Yogasudha Veturi
Assistant Professor at Penn State University
State College, Pennsylvania, United States
Summary
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Senior🎓
Top SchoolYogasudha Veturi is an Assistant Professor at Penn State with 11 years of experience applying statistical genetics and biostatistics to clinical and multi-omic data for precision health. She specializes in hierarchical Bayesian modeling, MCMC, and high-dimensional prediction, with a track record of integrating electronic health records, whole-exome/genome data, and functional omics to elucidate drug response and disease risk. Her postdoctoral work at UPenn and Geisinger focused on translating multi-cohort genomics and imaging-derived phenotypes into actionable insights for cardiometabolic and pharmacogenetic outcomes. A PhD-trained quantitative geneticist, she blends rigorous methodological development with hands-on EHR and biobank analyses, and is known for combining common and rare variant evidence across species and study designs. Based in State College, PA, she brings both deep statistical theory and practical pipeline experience to interdisciplinary teams working at the intersection of genomics and healthcare.
11 years of coding experience
6 years of employment as a software developer
MS, Statistics, MS, Statistics at North Carolina State UniversityDoctor of Philosophy (PhD), Biostatistics, Doctor of Philosophy (PhD), Biostatistics at University of Alabama at BirminghamMaster of Science (MS), Quantitative genetics, Master of Science (MS), Quantitative genetics at University of DelawareUniversity of Delhi
Github Skills (2)
traits2
prediction1
Github contributions (5)
RitchieLab/Gene-level-statistical-colocalization
Apr 2020 - Apr 2021
Contributions:114 commits, 112 pushes in 1 year
sudhaveturi/WHOLE-GENOME-REGRESSION-WITH-DATA-FROM-HETEROGENEOUS-POPULATIONS
Jul 2015 - Jul 2015
Contributions:82 pushes, 1 branch, 2 issues in 1 day
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