Kimberly Teklits is a data scientist and biostatistician with nine years of experience building end-to-end statistical and machine learning pipelines that integrate electronic health data to support translational research and a learning health system. Trained with a PhD in Biostatistics from Harvard and a master’s from Boston University, she has supported pediatric research at Boston Children's Hospital and taught intermediate statistical computing and clinical trial design. Her background spans industry internships in pharma and global health diagnostics, giving her a pragmatic view of regulatory and operational constraints in real-world data projects. She combines rigorous causal and epidemiologic thinking with practical deployment skills to move models from analysis to clinical-relevant insights. Notably, her work emphasizes reproducible, clinic-ready analytics within academic and translational settings in Boston.
9 years of coding experience
Bachelor’s Degree, Health Science, Summa Cum Laude, Bachelor’s Degree, Health Science, Summa Cum Laude at Boston University Sargent College of Health and Rehabilitation Sciences
Doctor of Philosophy (PhD), Biostatistics, Doctor of Philosophy (PhD), Biostatistics at Harvard University
Master’s Degree, Biostatistics & Epidemiology, Master’s Degree, Biostatistics & Epidemiology at Boston University School of Public Health
Contributions:1 review, 2 PRs, 22 pushes in 1 year 8 months
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