William R. Cluett

B.Sc. (Queen’s), Ph.D. (Alberta)
Associate Chair, Undergraduate Curriculum Development
Room: WB341 | Email: will.cluett@utoronto.ca




  • Fellow of Engineers Canada, 2021
  • Medal for Distinction in Engineering Education, Engineers Canada, 2021
  • OCUFA Teaching Award, Ontario Confederation of University Faculty Associations, 2020
  • President’s Teaching Award, University of Toronto, 2018
  • Sustained Excellence in Teaching Award, Faculty of Applied Science and Engineering, University of Toronto, 2016
  • Bill Burgess Teacher of the Year Award for Large Classes, Department of Chemical Engineering & Applied Chemistry, University of Toronto, 2014
  • Fellow, American Association for the Advancement of Science, 2009
  • Fellow, Chemical Institute of Canada, 1998
  • Syncrude Canada Innovation Award, 1997


Professional Engineers Ontario

Research Interests

My past research contributions have been in the fields of process identification, control and design. In more recent years, I have decided to extend my research in these more mature fields into the emerging field of systems biology. I have benefited tremendously from my collaboration with my colleague, Professor Krishna Mahadevan. My goal is to bring a systems perspective to each project while learning evermore about biological systems.

Recent Publications

M.K. Toroghi, W.R. Cluett and R. Mahadevan (2020). A personalized multiscale modeling framework for dose selection in precision medicine, Industrial & Engineering Chemistry Research.

S. Srinivasan, W.R. Cluett and R. Mahadevan (2019). A scalable method for parameter identification in kinetic models of metabolism using steady-state data, Bioinformatics.

M.K. Toroghi, W.R. Cluett and R. Mahadevan (2019). A multi-scale model for low-density lipoprotein cholesterol (LDL-C) regulation in the human body: Application to quantitative systems pharmacology, Computers & Chemical Engineering.

J. Du and W.R. Cluett (2018). Modelling of a naphtha recovery unit (NRU) with implications for process optimization, Processes.

S. Srinivasan, W.R. Cluett and R. Mahadevan (2018). Model-based design of bistable cell factories for metabolic engineering, Bioinformatics.

M.K. Toroghi, W.R. Cluett and R. Mahadevan (2016). Multiscale metabolic modeling approach for predicting blood alcohol concentration, IEEE Life Sciences Letters.

S. Srinivasan, W.R. Cluett and R. Mahadevan (2015). Constructing kinetic models of metabolism at genome-scales: a review, Biotechnology Journal.

L. Yang, S. Srinivasan, R. Mahadevan and W.R. Cluett (2015). Characterizing metabolic pathway diversification in the context of perturbation size, Metabolic Engineering.

N. Venayak, N. Anesiadis, W.R. Cluett and R. Mahadevan (2015). Engineering metabolism through dynamic control, Current Opinion in Biotechnology.

N. Anesiadis, H. Kobayashi, W.R. Cluett and R. Mahadevan (2013). Analysis and design of a genetic circuit for dynamic metabolic engineering. ACS Synthetic Biology.

L. Yang, W.R. Cluett and R. Mahadevan (2011). EMILiO: a fast algorithm for genome-scale strain design. Metabolic Engineering.

N. Anesiadis, W.R. Cluett and R. Mahadevan (2008). Dynamic metabolic engineering for increasing bioprocess productivity. Metabolic Engineering.

L. Yang, R. Mahadevan and W.R. Cluett (2008). A bilevel optimization algorithm to identify enzymatic capacity constraints in metabolic networks. Computers and Chemical Engineering.