Dr. Wang has taken a multidisciplinary approach in his projects, which has resulted in novel modeling algorithms and integrated translational research outcome. His current research focuses on integrating mathematical, physical, and statistical methods with experimental investigations and patient data analysis to quantitatively understand tumor progression and invasion mechanisms, in an effort to accelerate diagnosis, improve prediction, and optimize cancer treatment planning. He is also leading an integrated research effort on developing hybrid multiscale models for understanding normal mammary gland growth. He is a co-authoring two scientific monographs, "Biophysical Modeling of Cancer in Silico" by Springer and "An introduction to Physical Oncology" by CRC Press. His work has been continuously supported by the National Science Foundation and the National Cancer Institute.
Publications/Creative Works
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