Graduate Student
I am excited to join the Multiscale Immune Systems Modeling network because I bring both advanced population health research experience and a deepening foundation in cancer biology through my current molecular oncogenesis coursework. What drives me is the desire to understand and model how factors like tumor heterogeneity, immune response, and aneuploidy affect cancer development and progression across different populations. Although cancer isn’t explicitly highlighted on the form, I believe multiscale modeling offers unique potential to answer research questions such as: Can we predict how quickly breast tumors grow in diverse groups, or how immune system characteristics and chromosomal instability influence these patterns? My interdisciplinary background—spanning epidemiology, computational skills, and molecular biology—enables me to bridge scales and disciplines, exactly in line with the network’s mission. I am keen to collaborate with peers and mentors to translate these cross-scale models into insights for personalized care and improved population health. By sharing my perspective and learning from the community, I hope to help advance the understanding of cancer and immune interactions using cutting-edge modeling as envisioned by MISM.