Liang Cao (曹亮)
About Me
I am a Postdoctoral Fellow in Chemical and Biological Engineering at the University of British Columbia, co-supervised by Prof. Bhushan Gopaluni (Fellow of the Canadian Academy of Engineering) and Prof. Fengqi You (AAAS/AIChE/FRSC Fellow) at Cornell University. Before that, I was a Postdoc (2024–2025) at the Massachusetts Institute of Technology with Prof. Richard D. Braatz (Member of the US National Academy of Engineering, IEEE/IFAC/AAAS/AIChE Fellow).
I received my Ph.D. (2024) in Chemical and Biological Engineering from the University of British Columbia, advised by Prof. Bhushan Gopaluni and Prof. Yankai Cao. I obtained my B.S. and M.S. from Beijing University of Chemical Technology advised by Prof. Youqing Wang, and was a joint M.S. student at the University of Duisburg-Essen with Prof. Steven X. Ding.
My research focuses on trustworthy machine learning and its industrial applications, spanning causal discovery, process monitoring & fault diagnosis, soft sensor modeling, and fault-tolerant control. My work has been applied to refinery digital twins, biopharmaceutical manufacturing, lithium-ion battery management, and smart energy systems.
我目前是英属哥伦比亚大学（UBC）化学与生物工程系的博士后研究员，由加拿大工程院院士Bhushan Gopaluni 教授与康奈尔大学的尤峰崎 (Fengqi You) 教授（AAAS/AIChE/FRSC 会士）联合指导。此前，我于 2024–2025 年在麻省理工学院（MIT）担任博士后，合作导师为美国国家工程院院士、IEEE/IFAC/AAAS/AIChE 会士 Richard D. Braatz 教授。
我于 2024 年在英属哥伦比亚大学获得化学与生物工程博士学位，导师为 Bhushan Gopaluni 教授和曹彦凯 (Yankai Cao) 教授。学士与硕士学位均于北京化工大学获得，导师为王友清 (Youqing Wang) 教授；硕士期间还赴德国杜伊斯堡-埃森大学联合培养，合作导师为 Steven X. Ding 教授。
我的研究聚焦于可信机器学习（trustworthy machine learning）及其工业应用，涵盖因果发现、过程监控与故障诊断、软测量建模以及容错控制。相关成果已应用于炼化数字孪生、生物制药生产、锂离子电池管理以及智慧能源系统等领域。