Benjamin Yip

Dr. Yip joined the School of Public Health and Primary Care (SPHPC) of the Chinese University of Hong Kong (CUHK) in 2011, and he is currently an Assistant Professor. In 2008, he received his Doctor of Philosophy (PhD) degree from Karolinska Institutet, Sweden. His thesis was to develop statistical methods for estimating random effects models with the purpose of estimating variance components for disease liability and correlations in pedigree data. Together with his PhD supervisor, Professor Yudi Pawitan, they examined the co-morbidity and liability between schizophrenia and bipolar disease in a large population based sample⁠. This research ended one of the most persistent debate in psychiatry which is whether schizophrenia and bipolar disorder are the clinical realizations of entirety different versus identical etiological process (Lancet 2009). He continued to develop and refine these methods, as evident by recent publications in top international peer review manuscripts⁠ (JAMA Psychiatry 2019 , Biological Psychiatry 2018, 2020). ​ In parallel with his continued engagement at Karolinska Institutet on genetic epidemiological research, he is serving as the lead statistician in various clinical studies, ranging from clinical trials to cohort studies, steering committee member of Domestic Health Account (FHB), member of service learning committee (Chung Chi College), and a leading member of one WUN working group on integrated care model for multimorbidity. He is teaching health economics both on bachelor and post-graduate level. He is currently supervising four PhD students. Previously, he supervised/co-supervised four other graduated PhD students.

Dr. Yip is serving as the principal investigators or as the lead biostatistician in numerous funded projects. He has 83 academic articles (up-to-date 20/07/2020) with a h-index of 17.

Research Interests

• Mental Health: Epidemiology and genetic epidemiology of autism spectrum disorder
• eHealth: wearables, monitoring, behaviour
• Health Economics: trial-based economic evaluation