Bei Wang, PhD, graduated in Spring 2025 from the Public Health Sciences program and received the Program Award for Outstanding Performance in the General Field of Public Health Sciences. Her dissertation, Decoding Multiple Myeloma Outcomes Through Machine Learning-Based Analysis of Genome-Wide 5-Hydroxymethylcytosine in Circulating Cell-Free DNA, was completed under the mentorship of Dr. Brian Chiu. By applying advanced machine learning techniques to epigenetic markers in liquid biopsies, Bei’s research aimed to improve prognostic tools for multiple myeloma, a complex and often aggressive form of blood cancer.
At the University of Chicago, her interdisciplinary work bridged public health, genomics, and data science advancing the field of noninvasive cancer monitoring and early detection. Her research stands at the forefront of precision public health, using cutting-edge computational methods to translate molecular data into clinical insights that could improve outcomes for cancer patients.