Ye Liang, PhD

I am a researcher with a PhD in Management Science and Engineering, specializing in healthcare analytics and applications. My expertise lies in utilizing cutting-edge methodologies such as deep learning, machine learning, complex networks,  operational optimization, and statistical analysis to solve critical challenges in healthcare. My current research focuses on disease progression modeling, patient trajectory evolution analysis and comorbidity prediction.

With extensive experience in developing computational models using Python, R, and MATLAB, I generate actionable insights from large-scale healthcare datasets. My research often adopts a multidisciplinary approach, integrating biomedical analysis, electronic medical record (EMR) analysis, information systems, and big data intelligence technologies to optimize healthcare decision-making and operational efficiency.

Driven by a strong foundation in quantitative methods and a passion for innovation, I am committed to advancing healthcare research through the development of data-driven solutions that enhance patient outcomes and streamline healthcare operations.

Research Interests:

（1）Disease progression modeling；（2）Complex networks in healthcare systems；（3）Machine learning and deep learning applications in healthcare；（4）Patient trajectory evolution analysis；（5）Electronic health records (EHRs) data analysis；（6）Big data intelligence technologies for healthcare decision-making