Summary
Stephanie Spielman is a data scientist and computational biologist with 13 years of experience translating biological questions into robust data-driven solutions. She transitioned from academia—earning a Ph.D. in Computational Molecular Evolution and serving as an instructor and assistant professor—to applied data science roles, most recently at Alex's Lemonade Stand Foundation. Her work blends statistical rigor, curriculum development, and hands-on computational biology, with a track record of building R-based educational materials adopted for undergraduate biostatistics. Comfortable at the intersection of research and practice, she has led lab-based teaching, developed course curricula, and moved into nonprofit analytics to drive impact-focused projects. Based in Philadelphia, she brings academic depth to practical problems, pairing evolutionary computation expertise with real-world data stewardship. Colleagues describe her as someone who makes complex genomic and statistical concepts accessible to diverse audiences.
12 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computational Molecular Evolution, Doctor of Philosophy (Ph.D.), Computational Molecular Evolution at The University of Texas at Austin
Bachelor’s Degree, Biology, General, Bachelor’s Degree, Biology, General at Brown University