Summary
Claire Weber is a statistician and bioinformatician with 11 years of interdisciplinary experience applying statistics, machine learning, and multi-omics analysis to biomedical research at NIH (NEI) and NCATS. She holds a PhD from George Mason University and combines deep quantitative skills with practical pipeline development to integrate large-scale omics datasets and extract actionable biological insights. Comfortable bridging teams across academia and industry, she mentors colleagues in statistical methods and excels at translating complex results into clear visualizations and communication. Known for curiosity-driven problem solving, she pairs rigorous experimental thinking from her ecology and plant biology training with advanced computational approaches to tackle translational research challenges.
11 years of coding experience
Bachelor's degree, Ecology and Evolutionary Biology, Bachelor's degree, Ecology and Evolutionary Biology at University of Michigan
Master of Science - MS, Botany/Plant Biology, Master of Science - MS, Botany/Plant Biology at Northwestern University
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at George Mason University