I began my Ph.D. journey in Statistics in the Department of Mathematical Sciences at Michigan Technological University in 2021, during the height of the COVID-19 pandemic, just after welcoming my newborn baby. Balancing academic life, research responsibilities, and family has been both challenging and deeply rewarding. Over the past several years, I have greatly enjoyed my experiences at Michigan Tech—teaching undergraduate statistics courses, assisting in math labs, conducting research, and engaging with the university community.
My research focuses on developing and applying advanced statistical and computational methods for biomedical and clinical data analysis. Specifically, I work on high-dimensional gene network modeling, machine learning–based fracture-risk prediction, domain adaptation for cross-cohort data, and reinforcement learning for personalized cardiac therapy. These projects combine theory, computation, and real-world health data to create interpretable and generalizable models that advance precision medicine and biomedical discovery.
Outside of academics, I enjoy sports and have been an active member of the Michigan Tech Basketball Club for three years. I also spend my free time reading, exploring music, and staying active with my family.
I am sincerely grateful for the support of the Copper Shores Community Health Foundation (CSCHF), which provides me with the valuable opportunity to focus more deeply on my research and complete meaningful work that connects statistical innovation with real-world health improvement.