Qiang Zhou

Qiang Zhou is a seasoned academic and research professional with a robust background in statistical modeling and analysis, particularly in production and service systems. Educational credentials include a PhD and an MS in Industrial and Systems Engineering and Statistics from the University of Wisconsin-Madison, as well as dual degrees in automotive and mechanical engineering from Tsinghua University. Qiang Zhou has held significant academic positions, including Assistant Professor at City University of Hong Kong and the University of Arizona, where involvement extended to the Statistics and Data Science program and the UA Data Science Institute. Currently serving as a Research Scientist in Machine Learning at Meta, Qiang Zhou's expertise encompasses system/process analysis, experimental design, and data mining, with a focus on advanced methodologies like Bayesian inference.