Le Yang

My research focuses on developing algorithms and mathematical models to address biological problems. Major areas of interest include computational cancer genomics and sequence analysis.

By extracting information from various ‘omics’ data and biological networks, we aim to model the process of cancer initiation, progression, and metastasis. I am particularly interested in developing network-based algorithms to identify cancer driver modules. These modules can be used to construct an oncogenetic model which describes the mutation cumulation process during cancer development. Additionally, I am interested in developing a mathematical model to interpret the distribution of cancer omics data to provide a roadmap for cancer development. Ultimately, these models can be integrated to predict the patient’s prognosis and response to a certain therapy.

I am also interested in using deep learning techniques to address fundamental problems in sequence analysis, such as pairwise alignment and the prediction of sequence distances.

• Yijun Sun, PhD

• PhD, State University of New York at Buffalo, New York, United States