CV
Work experience
Research associate (Dec. 2021-present)
- Institute for Manufacturing, University of Cambridge
- Supervisor: Prof. Ajith Parlikad
- Developed discrete-event simulation models and web dashboards for predicting hospital bed occupancy of COVID-19 patients, for capacity planning and to support recovery of selected non-Covid services.
- Developed discrete-event simulation models and web dashboards for process modelling in a histopathology lab, for KPI prediction, resource planning, and process optimisation.
- Current activities:
- Further development of the above.
- Set the foundation for developing hospital digital twins, deepening understanding of hospital operations, asset management, and patient outcomes.
Research Associate (2020-2021), Research Fellow (2018-2020), Postdoctoral Fellow (2016-2018)
- City University of Hong Kong
- Supervisor: Dr. Eric W. M. Wong
- Assisted in the writing of grant applications and project reports, especially in the area of healthcare operations management.
- Developed analytical and simulation models for the evaluation, and optimization of intensive care networks in Hong Kong and other metropolitan cities.
- Developed stochastic models for infectious disease.
- Developed simulation and analytical approximation methods for blocking probability in overflow loss system models, including machine learning-based methods, with applications in various telecommunications and service systems.
- Mentored undergraduate students on the completion of their final year projects. Instructed final-year undergraduate students on writing simulation programs for stochastic system models.
Co-lecturer, University of the Witwatersrand, South Africa (Jul-Sep 2021)
- Co-lecturer of the capstone course “Design Project” on engineering design for students in Electrical and Information Engineering.
- I was invited to co-lecture this course thanks to my previous collaboration with Prof. Anton van Wyk on epidemiological modelling for COVID-19.
- Students choosing our selected topic would need to design a simple epidemiological model for COVID-19, analyze possible tipping points leading to an out-of-control local epidemic, and design an early-warning system to avoid hitting these tipping points.
Education
- Ph.D, City University of Hong Kong, 2017
- Thesis Title: Surrogate-based Approximation of Blocking Probability in Non-hierarchical Overflow Loss Systems
- Supervisor: Dr. Eric W. M. Wong
- Co-supervisor: Prof. Moshe Zukerman
- M.Sc. in Multimedia Information Technology, City University of Hong Kong, 2011
- B.Math., University of Waterloo, 2010
Publications
Patent
W. M. E. Wong, J. T. Wu, Y. C. Chan, and M. Zukerman, “Base station sleep mode based on power consumption and/or quality of service,” US patent 10568047B2, 2020. Available: https://patents.google.com/patent/US10568047B2/en
Skills
- Extensive experience with discrete-event simulation in Python (using the salabim and Simpy libraries) and Arena.
- Web dashboard development in Python using Dash
- Experience with Docker/Docker Compose
- Document preparation with \(\LaTeX\), R bookdown, and Quarto
- Some experience in R, Julia, Java, C++, MATLAB, and SQL
Continuing education certificates
Data Science (HarvardX)
- Course provider: edX
- Earned: Oct 2022
- Nine courses on data science using the R tidyverse packages, including plotting, inference and modelling, data wrangling, and string processing.
- Program record
Epidemics – Origins, Spread, Control and Communication (HKUx)
- Course provider: edX
- Earned: July 2022
- Four courses on the origins, spread and control of infectious disease epidemics and effective communication about infectious diseases
- Program record