I earned my Ph.D. in Analytical Chemistry with a minor in Biological Data Science from Oregon State University, delving into metabolomics and lipidomics analysis of the mouse brain in different disease studies using cutting-edge UPLC-HRMS/MS techniques. Recognizing my passion for data science during my Master’s and Ph.D. journeys, I opted for a minor in Biological Data Science to further explore and contribute to this dynamic field.

Embarking on a postdoctoral role at Stanford University, I am dedicated to leveraging data science principles and advanced technologies for insightful discoveries in bio-data, particularly within multi-omics research. My primary project aims to reveal predictive signatures of the tumor microenvironment in papillary thyroid cancer, employing single-cell RNA sequencing and spatial transcriptomics. Another exciting project focuses on unraveling seasonal changes in newborn cord blood metabolites through metabolomics analysis using LC-HRMS/MS and advanced data analysis techniques. My overarching professional goal is to advance my expertise in machine learning and data science to play a pivotal role in leveraging data-driven insights for more effective healthcare solutions and improved patient outcomes.

Play

Beyond the lab, I find joy in outdoor activities like hiking, paddle boarding and swimming. As a self-taught painter, I indulge in the creative process during my free time, adding an artistic flair to my multifaceted interests.