
About
Jing Guo is an Assistant Professor in the Department of Chemical Engineering at Polytechnique Montréal, focusing on optimizing bioproduction processes for therapeutic proteins. His research integrates experimental and modeling approaches to enhance productivity and product quality.
- Ph.D. in Chemical Engineering, University of Virginia (2016)
- B.Eng. in Chemical Engineering, Tianjin University (2011)
His expertise centers on bioseparations and chromatography, addressing challenges in biopharmaceutical purification. Recent work includes machine learning applications for O-glycosylation prediction and mechanistic modeling of protein A chromatography.
Jing has authored 14 publications, with 12 journal articles spanning 2014–2025. His research bridges biotechnology, process modeling, and separation science, emphasizing scalability and industrial applicability.
Prior to Polytechnique, he held positions at MIT (2022–2025), Bristol Myers Squibb (2020–2022), and Teva Pharmaceuticals (2018–2020), alongside postdoctoral work at the University of Delaware (2016–2018).
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