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CURATOR
A pinboard by
YU SHI

PhD student, University of California Los Angeles

PINBOARD SUMMARY

Using latest optimization technique for finding the best experimental designs

Efficient experiment designs for data collection are critically important in making meaningful statistical inferences and saving costs, and experiments utilizing optimal design theory can help scientists produce the most reliable results and more likely to translate into useful biomedical applications. My research focuses on developing methodologies and applies them to build powerful statistical tools that scientists and clinicians can take advantage of to save time and costs in their studies and to make more informed and timely medical decisions. Utilizing a class of cutting-edge algorithms called metaheuristics, I try to solve high dimensional and complex design problems in bioscience with much faster computational speed and better searching capabilities than conventional algorithms. I also build statistical computation tools for easier use in practice and I’m trying to make it widely available to promote the use of optimal designs in scientific studies.

3 ITEMS PINNED