Summary
Rozanne Mungai is a Ph.D. candidate in Biomedical Engineering at Worcester Polytechnic Institute with a decade of research and teaching experience focused on tissue engineering, mechanobiology, and image processing. Her work bridges experimental biomechanics and computational image analysis to quantify how mechanical cues shape tissue behavior, drawing on research roles at Tufts, Weizmann Institute, and Johns Hopkins APL. Based in Massachusetts, she combines hands-on lab technique with data-driven image processing skills that accelerate insight from complex microscopy datasets. She has supported education as a graduate teaching assistant and brings cross-cultural leadership experience from student organizations at MIT. Colleagues note her ability to translate mechanistic hypotheses into reproducible experimental pipelines, making her equally comfortable at the bench and at the code console.
10 years of coding experience
Bachelor of Science (B.S.), Bachelor of Science (B.S.) at Massachusetts Institute of Technology
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Worcester Polytechnic Institute
French, English, Hebrew