Education & Certifications


  • B.S., UCLA, Applied Mathematics & Statistics (2019)

Work Experience


  • Data Science Intern, Facebook (June 22, 2020 - September 11, 2020)

    Location

    Menlo Park, CA

All Publications


  • Measurement and models accounting for cell death capture hidden variation in compound response. Cell death & disease Bae, S. Y., Guan, N., Yan, R., Warner, K., Taylor, S. D., Meyer, A. S. 2020; 11 (4): 255

    Abstract

    Cancer cell sensitivity or resistance is almost universally quantified through a direct or surrogate measure of cell number. However, compound responses can occur through many distinct phenotypic outcomes, including changes in cell growth, apoptosis, and non-apoptotic cell death. These outcomes have divergent effects on the tumor microenvironment, immune response, and resistance mechanisms. Here, we show that quantifying cell viability alone is insufficient to distinguish between these compound responses. Using an alternative assay and drug-response analysis amenable to high-throughput measurement, we find that compounds with identical viability outcomes can have very different effects on cell growth and death. Moreover, additive compound pairs with distinct growth/death effects can appear synergistic when only assessed by viability. Overall, these results demonstrate an approach to incorporating measurements of cell death when characterizing a pharmacologic response.

    View details for DOI 10.1038/s41419-020-2462-8

    View details for PubMedID 32312951