Epidemiology and Biostatistics

My research develops new clinical trial and experimental study designs to allow 'learning from data' more efficiently. My research also develops new analysis methods to understand latent structure in data. This allows better understanding of disease processes, better targeting of existing treatments, and development of more effective new treatments. Finally, I am developing new statistical methods based on prediction of future events.

Dr. Leslie V. Farland's research program focuses broadly on women’s health and can be categorized into three major themes: i) the intersection between women’s reproductive health and chronic disease risk ii) etiology and risk factors for endometriosis, infertility, and polycystic ovary syndrome iii) disparities in access to infertility care and fertility treatment utilization

Chengcheng Hu has worked on a broad range of areas including cancer, occupational health, HIV/AIDS, and aging. He has extensive collaborative research in conducting methodological research in the areas of survival analysis, longitudinal data, high-dimensional data, and measurement error. His current methodological interest, arising from studies of viral and human genetics and biomarkers, is to develop innovative methods to investigate the relationship between high-dimensional information and longitudinal outcomes or survival endpoints.

I use human genetic data to find associations of genetic markers with complex traits and diseases, to shed light on disease pathophysiology, causal pathways, and health disparities, and to inform precision medicine.

Dr. Xiaoxiao Sun's research focus is developing theoretically justifiable and computationally efficient methods for complex and big data arising in data-rich areas, such as medical imaging and genomics.