Senior Research Analyst, Research Technology Office, ASU at Arizona State University
Phoenix, Arizona, United States
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Summary
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Susan Massey is an applied mathematician and research software engineer with nine years of experience building mechanistic differential equation models and data-driven analyses for biomedical research. Currently a Senior Research Analyst in ASU’s Research Technology Office, she bridges domain science and engineering to translate experimental data into predictive tumor growth and drug-response models using Matlab and Python. Her background includes developing PDE-based brain tumor models, parameter sensitivity workflows (e.g., Latin hypercube sampling), and mentoring junior researchers across academic and industry settings such as Mayo Clinic and Systems Oncology. Comfortable with R, Fortran, and Google Cloud for ML, she combines rigorous mathematical theory with practical coding and stakeholder engagement to shape study design and grant-winning projects. An unassuming strength is her long track record of turning complex biological questions into computationally tractable models that inform experiments and collaborative decision-making.
9 years of coding experience
6 years of employment as a software developer
PhD, Applied Mathematics, PhD, Applied Mathematics at University of Washington
n/a, pre-major, n/a, pre-major at Eastern Washington University
These codes were used to generate the simulations in the paper "Simulating PDGF-driven Glioma Growth and Invasion in an Anatomically Accurate Brain Domain." submitted to the Bulletin of Mathematical Biology.
Contributions:4 PRs, 5 pushes, 5 branches in 2 years 10 months
braingliomamathematical-biologybulletinbiology
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Susan Massey - Senior Research Analyst, Research Technology Office, ASU at Arizona State University