[CFAR Distinguished Professor Lecture Series]
Metaheuristics for Designing Efficient Experiments for Complex Biomedical Studies (Hybrid Event) by Professor Wong Weng Kee
21 Jul 2022 | 3.00pm (Singapore Time)
The upcoming talk covers a brief overview of fundamentals in optimal design construction and how metaheuristics can be used to design more efficient biomedical studies. Prof Wong Weng Kee will demonstrate the usefulness of nature-inspired metaheuristic algorithms for finding various hard-to-find optimal designs for complex models. They include locally optimal designs, minimax or standardised maximin optimal designs or Bayesian optimal designs.
As applications, Prof Wong will discuss search strategies to estimate some or all parameters in a compartment model, estimate the biological optimal dose in a continuation ratio model, construct multiple-objective optimal designs and extend Simon’s two-stage adaptive designs for Phase II trials to incorporate testing one of several pre-specified alternative hypotheses.
Prof Wong received his BSc (Hons) in 1983 from NUS and a PhD from the University of Minnesota in 1990. His biomedical research is mainly supported by NIH grants and the areas include dentistry, environmental health science, fighting obesity in minority populations, nutrition study for breast cancer survival patients, colon/liver cancer prevention and control and melanoma prevention in young adults. Prof Wong has also received multiple R01 grant awards from the National Institute of General Medical Sciences for his research in optimal designs. He is a Fellow of the Institute of Mathematical Statistics, The American Statistical Association, The American Association for the Advancement of Science, and an elected member of the International Statistical Institute and Sigma Xi, The Scientific Research Honor Society. Prof Wong is currently a Yushan Fellow awarded by the Taiwan Ministry of Education.