Lab Members

Chengyue Wu, Ph.D.
Principal Investigator
Assistant Professor, Imaging Physics

Chengyue Wu is an assistant professor of Imaging Physics at UT MD Anderson, with joint appointments in Biostatistics and Breast Imaging, and affiliation with the Institute for Data Science in Oncology. Her 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.

Wu has authored or co-authored more than 25 journal articles and more than 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.

Hee Kyung Ahn, Ph.D.
Postdoctoral Fellow

Heekyung Ahn earned her Ph.D. in statistics from Purdue University. Her research interests center on modeling dependent data and developing uncertainty-aware deep learning methods using Bayesian computational algorithms.

Her current research focuses on developing statistical models for early cancer detection and treatment assignment by integrating medical imaging data with mass spectrometry data from blood samples.

Carlos Gallegos, Ph.D.
Postdoctoral Fellow

Carlos Gallegos received his Ph.D. in biomedical engineering from the University of Alabama at Birmingham, and his primary research interest lies in integrating mathematical modeling with imaging-derived biomarkers to predict therapy-induced changes in clinical oncology.

His current research focuses on developing computational imaging approaches to characterize tumor biology and heterogeneity, monitor early treatment response and support individualized cancer therapy. 

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 UT MD Anderson 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.

Nisha Yadav, Ph.D.
Postdoctoral Fellow

Nisha Yadav holds a Ph.D. in applied mathematics from The University of Texas at Dallas and has been actively mentoring students and serving as a Regeneron Science Talent Search judge. Her methodological expertise spans topological data analysis, hierarchical Bayesian inference, stochastic simulation and machine learning for medical imaging.

Her current research focuses on developing computational methods for cancer treatment assessment across multiple imaging modalities, including builds pipelines for MRI-based tumor vascular analysis and multi-modality imaging feature interpretation.