Summary
Rachel Sousa is a PhD candidate and NSF Graduate Research Fellow in Mathematical, Computational, and Systems Biology at UC Irvine who builds quantitative models to predict tumor-immune dynamics and immunotherapy outcomes. With eight years of research experience spanning academia and industry (including a QSP internship at Pfizer and modeling work at the National Cancer Institute), she bridges mathematics, biology, and experiment design to produce testable predictions and collaborate closely with wet-lab teams. Her work has led to peer-reviewed publications and practical tools—she co-developed a Reaction-Diffusion Equation software in Julia during earlier research—and she routinely presents to both mathematical and biological audiences. Known for clear interdisciplinary communication and a knack for translating complex model behavior into experimental guidance, she is expanding her toolkit across immunology, oncology, and computational methods to directly impact patient-relevant questions.
8 years of coding experience
3 years of employment as a software developer
Bachelor’s Degree, Mathematics, Bachelor’s Degree, Mathematics at Oregon State University
University of California, Irvine