Valerie Welty
PhD Candidate
Nashville-Davidson, Tennessee, United States
Summary
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Senior🎓
Top SchoolValerie Welty is a PhD candidate in Biostatistics with nine years of experience applying advanced statistical modeling and machine learning to clinical research, particularly in lung cancer prediction and biomarker assessment. At Vanderbilt University Medical Center she collaborated with multidisciplinary teams to translate complex healthcare data into actionable models and visualizations. Proficient in R and Stata, with experience in Python, Git, R Shiny, and familiar with SAS, SQL, Power BI and Tableau, she combines rigorous statistical methodology with polished data engineering and dashboarding skills. Her work emphasizes interpretable prediction models for indeterminate pulmonary nodules and evaluation of screening programs, bridging epidemiology and surgical practice. Colleagues value her ability to move from data cleaning through reproducible analysis to stakeholder-facing visualizations, reflecting both deep domain expertise and a user-focused approach.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Science (B.S.), Mathematics, Bachelor of Science (B.S.), Mathematics at Georgia Southern UniversityDoctor of Philosophy (Ph.D.), Biostatistics, Doctor of Philosophy (Ph.D.), Biostatistics at Vanderbilt UniversityHigh School Diploma, High School Diploma at Pinecrest AcademyGithub contributions (5)
weltybiostat/sgpv
Oct 2018 - Nov 2020
Contributions:47 commits, 29 pushes, 1 branch in 2 years 1 month
weltybiostat/Bios8366
Sep 2018 - Nov 2018
Advanced Statistical Computing at Vanderbilt University's Department of Biostatistics
Contributions:28 pushes in 2 months
statisticspythonstatisticaldepartmentvanderbilt
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