Lab Members
Chengyue Wu, Ph.D.
Principal Investigator
Assistant Professor, Imaging Physics
Dr. Chengyue Wu is an assistant professor in Imaging Physics at MD Anderson Cancer Center, with joint appointments in Biostatistics and Breast Imaging, and affiliation with the Institute for Data Science in Oncology. Dr. Wu’s research interests focus on computational oncology, especially integrating emerging biomedical imaging techniques with computational modeling, to improve the diagnosis, prognosis and treatment of human cancers.
She has authored or co-authored over 25 journal articles and over 60 conference abstracts or papers, and has regularly served as a co-organizer, executive committee member and moderator/reviewer for multiple scientific conferences. She was awarded the prestigious H. D. Landahl Mathematical Biophysics Award in 2023 from the Society of Mathematical Biology for her contributions to both diagnosing breast cancers and predicting their response to therapy, as well as the ready generalizability of her techniques to other solid tumor types.
Yutong Li, Ph.D.
Postdoctoral Fellow
Yutong Li is a postdoctoral fellow in Imaging Physics. He earned his Ph.D. from Lanzhou University in China, and his primary research interest lies in developing machine learning and deep learning models for cancer diagnosis, prognosis and treatment using multi-modal medical imaging. His current research focuses on developing models to analyze longitudinal changes in breast tissue to enhance detection accuracy.
Muxin Wang
Graduate Student
Muxin Wang is a Ph.D. student at the MD Anderson Cancer Center UT Health Houston Graduate School of Biomedical Sciences. She graduated from The University of Texas at Austin with a Bachelor of Science in neuroscience in 2021. Muxin is interested in employing biomedical imaging and mechanistic modeling to improve the prevention and detection of various cancers and neurodegenerative diseases.
Meghan Paral
College Student
Meghan Paral is an undergraduate statistics major at Rice University, with minors in data science, biochemistry and cell biology, and global health technologies. Her current research centers on developing mathematical models to explore tumor-immune interactions in triple-negative breast cancer patients.