About me
I have been working as a biostatistician at the University of Zurich's Epidemiology, Biostatistics and Prevention Institute (EBPI) in the Department of Epidemiology since 2015. I support epidemiological researchers and doctoral students in designing and analyzing their own studies, as well as conduct my own research. Since 2020, I have been involved in two courses which use the framework of randomized controlled trials to teach key core competencies in epidemiology.From 2008 to 2015, I was a biostatistical consultant for the Clinical Trials Center at the University Hospital Zurich and the Clinical Trials Unit at the Cantonal Hospital St. Gallen. In 2008, I completed my PhD in Biostatistics at the University of Pittsburgh's School of Public Health, with a dissertation entitled Inference on Competing Risks in Breast Cancer Data.
My research projects have come from a wide range of medical areas, including COVID-19, oncology, cardiology, pediatrics, pulmonology, physical activity, and rheumatology. Accordingly, statistical methodology has included a variety of different techniques, such as Bayesian hierarchical models, inverse probability weighting, classification trees, survival analysis, (generalized) mixed models, comparison of diagnostic tests and analysis of cross-over trials. Additionally, I am interested in reproducible research and good research practices, such as open data.
Publications are listed here. For more information, see my CV.
NB: My last name is pronounced "Hi-lee", or like "highly". (Anders gesagt, "Hai" wie "Haifisch" dann "li".)