B.Sc. (Queen’s), Ph.D. (Alberta)
Room: WB341 | Email: email@example.com
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
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.
S. Srinivasan, W.R. Cluett and R. Mahadevan (2017). 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.