My long-term research interests are to develop robust statistical methods that elucidate molecular markers and reconstruct their regulatory pathways underlying complex diseases. Such studies usually include new methods and computation algorithms fitting the needs of complex and heterogeneous data in electronic health records or clinical trials. Specifically, we have proposed methods to integrate various levels of information resources (expression, genotype, protein-protein interaction, et cl), and the characteristics of clinical outcomes (e.g., censored or missing data), and data configuration (e.g., time course data). As a long-term investigator in multiple large trials funded by NIH and Gates Foundation, I have extensive experience in translational clinical research as a statistician. I have been working closely with clinicians in proposal preparation, data management, statistical analysis and conference/journal publications, which not only pay for 40-50% of my salary but also brings me the newest data type and hot topics in biomedical research.
Last but not least, I am also interested in the application of biostatistical methods in legal settings.