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　　July 9, 2026, Hongru Zhao, a postdoc from the University of Minnesota, USA, was invited to give a talk. The title is "From Fisher Information to Adaptive Experimental Design: Statistical Optimality in Quantum State Tomography". For more information, the poster.

　　Hongru Zhao is an IRSA Faragher Distinguished Postdoctoral Fellow in the School of Statistics at the University of Minnesota, USA. His research focuses on theoretical statistics, high-dimensional statistics, and the applications of statistical methods to modern scientific problems. His research interests include adaptive experimental design and sequential estimation, generative artificial intelligence and reinforcement learning, astrostatistics, quantum state tomography, random matrix theory, and partial differential equations and dynamical systems. Recently, he has developed adaptive experimental selection methods based on Fisher information and established corresponding asymptotic optimality theories. Related results have been published in IEEE Trans. Inf. Theory. His current research further extends to adaptive measurement design and statistical optimality problems in quantum state tomography. In addition, his work also involves statistical inference for stochastic gravitational-wave backgrounds and gravitational-wave data analysis, with two papers published in Phys. Rev. D.

Center for Applied Mathematics, Tianjin University, No.92 Weijin Road, Tianjin 300072, P. R. China