Siwen LI
I am a PhD candidate focusing on enhancing our understanding of various types of skeletal fragility and prioritize individuals at fracture risk. I’m passionate about integrating computational techniques with laboratory methods to address medical challenges.
With a background in bioinformatics, I have been analyzing and interpreting complex biological data to uncover patterns and insights that can inform our understanding of the natural world. My work involves developing and applying computational tools to manage, analyze, and visualize large datasets, including genomic sequences, proteomics, other omics and image data.
I am excited to utilize epidemiological data from deeply phenotyped population-based and patient-based cohorts, incorporating genetic information.
Favorite
“I like a good book and live music “
By implementing clustering techniques to identify groups of individuals at heightened risk of osteoporosis and fractures, I will also focus on developing and validating a machine learning (ML)-based stratification system to gain a comprehensive molecular understanding of skeletal fragility. This approach will help predict and diagnose skeletal fragility at an early stage and is expected to drive advancements in personalized medicine and improve patient care.
Outside of my research, I enjoy reading, traveling, and hitting the gym. Whether I’m catching up on a good book, planning my next trip, or enjoying live music, I always make sure to have fun and enjoy life beyond the lab.