Dr. Brian Ingalls

Division of Respirology

Dr. Brian Ingalls

PhD

Assistant Clinical Professor (Adjunct), Division of Respirology, Department of Medicine

 

 

 

 

 

Education and Professional Standing

Brian Ingalls is associate professor the Department of Applied Mathematics at the University of Waterloo, where he is cross-appointed to the Departments of Biology and Chemical Engineering. His research in synthetic and systems biology is focused on the development of mathematical models to predict the behavior of intracellular molecular networks and heterogeneous cellular communities. He is the author of Mathematical Modeling in System Biology: an introduction, and co-editor of Control Theory and Systems Biology.

Research Interests

  • Applications of systems and control theory to systems biology

Selected Publications

  1. N. Braniff, P. M. M. Reed and B. P. Ingalls, Optimal experimental design for characterizing gene expression: sample scheduling, Proceedings of the 7th IFAC Conference on Foundations of Systems Biology in Engineering, Chicago, USA, Aug. 5-8, 2018, IFAC-PapersOnLine 51.19 (2018): 48-51.
  2. L. Avery, B. P. Ingalls, A. Artyukhin, Numerical Modelling of C elegans L1 Aggregation,Proceedings of the 7th IFAC Conference on Foundations of Systems Biology in Engineering, Chicago, USA, Aug. 5-8, 2018,IFAC-PapersOnLine 51.19 (2018): 12-15.
  3. J. Kazemi, S. Ozgoli, B. P. Ingalls, Comparator-based gene regulatory network designs for control of expression,Proceedings of the 7th IFAC Conference on Foundations of Systems Biology in Engineering, Chicago, USA, Aug. 5-8, 2018,;IFAC-PapersOnLine 51.19 (2018): 38-41.
  4. N. Braniff and B. Ingalls "New Opportunities for Optimal Design of Dynamic Experiments in Systems and Synthetic Biology." Current Opinion in Systems Biology(2018). doi. 10.1016/j.coisb.2018.02.005
  5. A. Ahmedzadegan, A. Hamadeh, M. K. Sukumaran and B. Ingalls, 'Bioaugmentation approaches for suppression of antibiotic resistance: model-based design', in Emerging Applications of Systems and Control Theory, R. Tempo, S. Yurkovich, and P. Misra, eds. Springer, 2018, pp. 193-204.
  6. M. Morshed, B. Ingalls, and S. Ilie, "An effective implicit finite-difference method for sensitivity analysis of stiff stochastic discrete biochemical systems" IET Systems Biology. (2017) doi. 10.1049/iet-syb.2017.0048
  7. B. Ingalls, M. Mincheva and M. Roussel, "Parametric sensitivity analysis of oscillatory delay systems with an application to gene regulation" Bulletin of Mathematical Biology(2017) 79(7), 1539-1563 doi. 10.1007/s11538-017-0298-x
  8. A. Malwade, A. Nguyen, P. Sadat-Mousavi, and B. Ingalls, "Predictive modelling of a batch filter mating process", Frontiers in Microbiology (2017) vol. 8, pg. 461, doi. 10.3389/fmicb.2017.00461
  9. M. Morshed, B. Ingalls, and S. Ilie, "An efficient finite-difference strategy for sensitivity analysis of stochastic models of biochemical systems", Biosystems (2017) vol 151, pg. 43-52.
  10. M. Wong, X.Liang, M. Smart, L. Tang, R. Moore, B. Ingalls, and T. Dong "Microbial herd protection mediated by antagonistic interaction in polymicrobial communities ", Applied and Environmental Microbiology (2016) vol 82. pg. 6881-6888.