I am an Assistant Professor of Biostatistics and Bioinformatics in the Department of Biostatistics and Bioinformatics at Duke University and a Faculty Statistician at Duke Clinical Research Institute.
I received my Master’s in Biostatistics in 2007 and my Ph.D. in Biostatistics in 2012 from at Harvard University. For my Ph.D. thesis, I worked under the tutelage of Professor Rebecca Betensky (now Chair of the Department of Biostatistics at NYU) and Professor Tianxi Cai, on worst-rank methods for prioritized outcomes and on methods for precision medicine.
In 2012, I joined the Harvard Program on Causal Inference led by Professor James Robins for a 2-year postdoctoral training in Causal Inference Methods. Quantitative Sciences Unit in the Department of Medicine at Stanford University. I worked on different aspects of instrumental variable methods under the primary mentorship of Professor Eric Tchetgen Tchetgen (now in the Statistics Department at the Wharton School at the University of Pennsylvania). As a graduate student and later as a postdoctoral fellow at Harvard University, I also worked as a collaborative biostatistician on a wide range of clinical and social science projects.
I joined the faculty of Duke University in the Department of Biostatistics and Bioinformatics and Duke Clinical Research Institute in 2014. I am one of the founding members of the DCRI Program for Comparative Effectiveness Methodology and a member of the Duke REACH Equity Center‘s Measures, Methods, and Analysis Subcore.
My statistical methodological research focuses on nonparametric and semiparametric methods, causal inference methods for comparative effectiveness studies, clinical trials affected by non-compliance, not-so-perfect experiments, and observational studies. My goal is to develop statistical methods that make the best use of the data collected to answer scientific questions while applying principled methods to minimize bias and ensure fair assessments. The areas of application of my research include public health, biomedical, and social sciences.
As a DCRI faculty statistician, I collaborate with clinical researchers to better understand and treat cardiovascular diseases. I am actively involved in the analyses of large registry data including the Society of Thoracic Surgeons (STS) National Database, the STS and American College of Cardiology (ACC) Transcatheter Valve Therapy (TVTR) Registry, and the American Heart Association/American Stroke Association Get With The Guidelines (GTWG). Finally, I am also a member of the Duke Center REACH Equity Measures, Methods, and Analysis Subcore where I oversee the conduct of rigorous, reproducible, synergistic research related to the Center’s theme. In that role, I advise clinical investigators and provide analytic and data management support for research projects conducted by the Center.