I am deeply honored to receive this Fellowship from the Graduate School and the Graduate Dean Awards Advisory Panel. My doctoral journey at Michigan Technological University began in 2019, when I entered the Ph.D. program in Statistics within the Department of Mathematical Sciences. Under the dedicated mentorship of my advisor, Dr. Kui Zhang, I have specialized in Bioinformatics and Statistical Genetics, particularly the integration of multi-omics data.
A central part of my work involves introducing Cross-Tissue Learner (CTL)—a novel multi-tissue transcriptome-wide association study (TWAS) framework that combines imputed gene-expression data from 49 tissues. We also developed an empirical distribution approach to refine the tissue-integration process, employing a unique weighting strategy to exclude irrelevant tissues. Building on this foundation, we introduced TWAS G-Boosted CTL, which incorporates GWAS-specific information, further enhancing statistical power across diverse datasets. In parallel, I have explored non-linear techniques (machine and deep learning) to improve predictive modeling across tissues. These methodologies promise transformative progress in bioinformatics, statistical genetics, and public health, enabling rapid gene discovery for disease risk assessment and therapeutic interventions.
I extend my sincere thanks to Dr. Qiuying Sha, Dr. Xiao Zhang, and Dr. Hairong Wei for serving on my advisory committee, as well as the Department of Mathematical Sciences’ faculty, chair, and staff for their unwavering support. Above all, I offer profound gratitude to Dr. Kui Zhang—his mentorship has shaped my capacity to design and execute rigorous research in Bioinformatics and Statistical Genetics. Thanks to this Fellowship, I can finalize my dissertation and devote greater attention to the broader implications of my work.
My long-term aspiration is to continue advancing computational genomics in a research-focused academic setting. I am honored to begin a two-year role as an Assistant Professor at Macalester College in St. Paul starting in Fall 2025. This position will allow me to refine my teaching, mentor students, and produce publications in bioinformatics and statistical genetics journals. Through this work, I aim to foster interdisciplinary collaborations that drive meaningful breakthroughs in genetic epidemiology, precision medicine, and biomedical data science.