معرفی
Hongquan Xu is a Professor in the Department of Statistics and Data Science at the University of California, Los Angeles (UCLA). He specializes in experimental design, computer experiments, and drug combination studies. His research focuses on developing methodologies for factorial designs, space-filling designs, and response surface optimization. Xu has led multiple National Science Foundation (NSF) grants, including studies on nonregular designs, supersaturated designs, and drug combination experiments.
His work spans theoretical advancements in design theory and practical applications in biotechnology and engineering. Notable contributions include innovations in maximin distance designs, composite designs, and order-of-addition experiments. Xu has organized major conferences such as the 2013 and 2017 Spring Research Conferences on Statistics in Industry and Technology at UCLA.
His research has been published in top-tier journals like Annals of Statistics, Journal of the American Statistical Association, and Biometrika. Collaborations include pharmaceutical applications, seismic modeling, and personalized medicine through AI-driven drug combination therapies.
