Yuan Gu, PhD

Senior Biostatistician

Yuan Gu joined the Quantitative Sciences Unit in December 2023. She received her PhD in Biostatistics from George Washington University. Her research interest is centered on machine learning and deep learning, nonparametric modeling, survival analysis, time series analysis, and clinical trials across various medical domains including oncology, cardiology, neurology etc. Her programming expertise is in R and Python.

Clinical Area of Interests:  oncology, cardiology, neurology 

Methodology Area of Interests: machine learning and deep learning, nonparametric modeling, survival analysis, time series analysis and clinical trials

Selected publications: 

1, Gu Y etc. Unveiling Breast Cancer Risk Profiles: A Survival Clustering Analysis Empowered by an Online Web Application. Accepted by Future Oncology on Nov 24, 2023. 

2, Gu Y etc. Enhancing Kidney Failure Analysis: Web Application Development for Longitudinal Trajectory Clustering. medRxiv. 2023 Jun 4:2023-05.

3, Gong Y, Wang Z, Wang Y, Li X, Gu Y. Longitudinal Analysis of Step Counts in Parkinson Disease Patients: Insights from a Web-Based Application. medRxiv. 2023:2023-11.

4, Gu Y etc. What are the most important risk factors for depression among HIV patients? --- A study from Bangladesh. Accepted by HIV & AIDS Review on Aug 1, 2023. 

5, Sachdev V, Gu Y etc. A Machine Learning Algorithm to Improve Risk Assessment for Patients with Sickle Cell Disease. Blood. 2019 Nov 13;134:893.

6, Jiang S, Gu Y, Kumar E. Stroke Risk Prediction Using Artificial Intelligence Techniques Through Electronic Health Records. Artificial Intelligence Evolution. 2023 May 25:88-98.

7, Nakamura YT, Gu Y etc. Introducing neuroscience methods: an exploratory study on the role of reflection in developing leadership from a HRD perspective. Human Resource Development International. 2023 Aug 8;26(4):458-70.