Dr. Fang is Assistant Professor in Division of Biostatistics and Health Services Research, Department of Quantitative Health Science. Before joining UMass Medical School in 2010, she had served as Research Assistant Professor/ Biostatistician in University of Nebraska-Lincoln for four years. She graduated from Ohio University in 2006 with her Ph.D. core in Statistics.
She won a paper award at the 2006 Joint Research Conference on Statistics in quality industry and technology. She won Layman Awards for missing data modeling and growth trajectory pattern recognition via UNL research council competition in 2008.
She is a recipient of the 2012 UMass CTSA Pilot Project award for modeling heterogeneity of treatment effects (HTE) in longitudinal RCT and observational studies, including 3 RCTs and 2 observational studies for comparative effectiveness research.
She is the PI of NIH/NIDA R01 DISC project (2013-2016): Develop pattern recognition methods and tools for large-scale unstructured data from longitudinal RCT behavioral intervention studies for smoking cessation, generally, substance use, such as internet-delivered RCT interventions, and small-scaled culturally-tailored cognitive interventions. Dr. Fang has been a statistical consultant in health, medicine, economics, and bio-engineering areas for years. She also participated in large-scale multi-disciplinary projects at both state and federal levels. She is PI/Co-I/Statistician on 11 NIH, VA, or PCORI grants.
Dr. Fang's research interests include computational statistics, research design, statistical modeling and analyses in clinical and translational research. She is interested in developing novel methods and applying emerging robust techniques to enable or improve the health studies that can have potential impact on the treatment or prevention of human diseases. Her research applications are in data science, substance use, infectious diseases, immunology, nutritional epidemiology, behavioral medicine, and E-/M-health.
(Dr. Fang’s research website is under construction)
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