Dr. Hao Wang has been employed as an assistant professor of computer science at Leiden University since September 2020. He obtained my Ph.D. (cum laude, supervisor: Prof. Thomas Bäck) at Leiden University in 2018, followed by two postdoctoral appointments: at Leiden University (2018.05 – 2019.12) and LIP6 (Laboratoire d'Informatique de Paris 6), Sorbonne University, France (2020.01 – 2020.08). I served as the proceedings chair for the PPSN 2020 conference and will be organizing the EMO (Evolutionary Multi-Objective Optimization) 2023 international conference as one of the general co-chairs. I was invited to give tutorials on benchmarking and performance analysis of stochastic optimization algorithms in training schools (2017.10, 2019.11) of COST Action CA151405 and on Bayesian optimization for the 5th International Winter School on Big Data. I received the best paper award at the PPSN (Parallel Problem Solving from Nature) 2016 conference for proposing new measures to understand the difficulties of multi-objective optimization problems. I was also a best paper award finalist at the IEEE SMC (System, Man, and Cybernetics) 2017 conference for improving the convergence and robustness of Bayesian optimization. I designed an online self-switching optimization algorithm with my collaborators from Freiburg University and Sorbonne University, which won the NeurIPS (Neural Information Processing) 2020 competition on black-box optimization for machine learning. I led the development of a software platform: IOHprofiler, for benchmarking stochastic optimizers and analyzing their performance.