Education

• Teaching Stream PostDoc, University of Toronto (January 2020 - December 2021)
• PostDoc, University of Toronto (June 2019 - September 2019)
• PhD. Computer Science, University of Toronto (2014 - June 2019)
• MSc. Computer Science, University of Toronto (2012 - 2014)
• BSc. Double Honours in Computer Science & Physics, University of Saskatchewan (2008 - 2012)

Academic Awards and Honours

• NSERC PGS M (2012)
• NSERC USRA (Summer 2011, 2012)
• Dean's Honour List in 2009-2012
• SED Systems Third to Fourth Year Computer Science Scholarship (2011)
• Greystone Scholar (2008)

Publications

• Calver, J., Enright, W., Yao, J. Using Shooting Approaches to Generate Initial Guesses for ODE Parameter Estimation. (to appear in Recent Developments in Mathematical, Statistical and Computational Sciences: The V AMMCS International Conference, Waterloo, Canada, August 18-23, 2019. Springer Proceedings in Mathematics & Statistics. Springer International Publishing, 2021.)
• Calver, J. & Enright, W. Numerical methods for computing sensitivities for ODEs and DDEs. Numer Algor 74, 1101-1117 (2017). doi:10.1007/s11075-016-0188-6 (copy of accepted manuscript).
• Hashemian, M., Knowles, D., Calver, J., Qian, W., Bullock M., Bell, S., Mandryk, R.L., Osgood, N.D.,Stanley, K.G. 2012. iEpi: An End to End Solution for Collecting, Conditioning and Utilizing Epidemiologically Relevant Data. The 2nd ACM International Workshop on Pervasive Wireless Healthcare. June 11-14, 2012. Hilton Head, South Carolina.
• Hashemian, M., Stanley, K.G., Knowles, D.L., Calver, J., Osgood, N.D. 2011. Human Network Data Collection in the Wild: The Epidemiological Utility of Micro-contact and Location Data. Proceedings of the ACM SIGHIT International Health Informatics Symposium (IHI 2012). 10pp.

Conferences and Presentations

• The Impact of Optional Group Work on the Student Experience. May 12, 2021, 14th Annual University of Toronto Teaching and Learning Symposium, online (poster and slides)
• Using shooting approaches to generate initial guesses for ODE parameter estimation. August 18-23, 2019, AMMCS, Wilfred Laurier University, Waterloo, Canada (draft of talk in Applied Analysis & Inverse Problems session)
• Parameter Estimation for Ordinary Differential Equations. June 11, 2019, Whistler, BC (contributed talk)
• Parameter Estimation for Ordinary Differential Equations. September 20, 2017, UOIT, Oshawa (MCSC seminar)
• Numerical Computation of ODE Sensitivities. CAIMS July 17-21, 2017, Dalhousie University, Halifax (contributed talk)
• Computing Sensitivities for ODEs and DDEs. ICSCA June 6-9, 2016, Fields Institute, Toronto (contributed talk)
• Computing Least Squares Objective Function Sensitivities for ODEs and DDEs. SONAD May 6-8, 2015 (contributed talk)
• A 3-stage parameter estimation procedure for ODEs and DDEs. CAIMS June 22-26, 2014 (poster)
• A 3-stage parameter estimation procedure for ODEs and DDEs. SONAD May 15, 2014 (contributed talk)

Teaching Experience

Teaching

• CSC 148 - Introduction to Computer Science (winter 2021)
• CSC 207 - Software Design (fall 2020)
• CSC 336 - Numerical Methods (summer 2020)
• CSC 165 - Mathematical Reasoning for Computer Science (winter 2020)
• CSC 108 - Introduction to Computer Programming (fall 2019)

TAing

• MMF 2021 - Numerical Methods for Finance (fall 2018)
• CSC436 Numerical Algorithms (fall 2018)
• CSC 466/2305 - Numerical Methods for Optimization Problems (winter 2018)
• CSC 336 - Numerical Methods (winter 2013-winter 2018)
• Computer Science 1st Help Centre (fall 2017)
• CSC 410 - Software Verification and Testing (winter 2015)
• CSC D37 - Analysis of Numerical Algorithms (Scarborough) (winter 2014)
• CSC 108 - Introduction to Computer Programming (fall 2012)