Susan Massey is an Applied Mathematician and Research Software Engineer in the Research Technology Office of ASU's Knowledge Enterprise and the Health Observatory. Susan is also a cyberinfrastructure facilitator in the Cross-Institutional Research Engagement Network (CIREN).
Susan has 16 years of experience applying data analytics and differential equation modeling in oncology research prior to joining ASU. This includes using imaging data (anatomical, bioluminescence, histology, and live cell imaging) to inform the development of tumor growth models, as well as quantifying model sensitivity and uncertainty with respect to parameters, in her graduate and post-doctoral research. In industry, Susan implemented various AI models to identify potential combination drug targets, such as those that leverage synthetic lethality in tumor cells. She also analyzed bulk and single-cell RNA expression data to discover novel drug targets and analyzed high-throughput SELEX data to look for optimal aptamer sequences. Having worked with interdisciplinary teams comprised of physicians, biologists, informaticists, and engineers, Susan is adept at translating across domains to facilitate collaboration.
Now in ASU Knowledge Enterprise, Susan draws from her experience working with many different data types and tools, as well as her endless curiosity to learn about new and emerging approaches, to help researchers find the best solutions for their computational research needs.