Summary
Peter Carlip is a research scientist and PhD candidate in oceanography at Oregon State University with eight years of hands-on experience in engineering analysis, simulation, and computational modeling. He brings deep expertise in CFD and FEA, Python-driven simulation pipelines, and differential-equation and rule-based modeling from projects spanning rocket propulsion to cell signaling and cancer research at Yale. Peter has led analysis teams, coordinated cross-disciplinary technical efforts, and translated complex physical approximations into validated simulation workflows. His work uniquely bridges aerospace-grade simulation practices with biological and environmental monitoring applications, including terrestrial imagery–based forest health algorithms. Comfortable moving between theory and implementation, he combines rigorous academic training (BS Physics, UC San Diego) with practical lab and field experience. Colleagues value his knack for turning messy physical problems into reproducible, well-documented computational models.
8 years of coding experience
6 years of employment as a software developer
University of California, San Diego
Doctor of Philosophy - PhD, Oceanography, Chemical and Physical, Doctor of Philosophy - PhD, Oceanography, Chemical and Physical at Oregon State University