Dr. Eunice Chan, PhD
Assistant Professor
School of Medicine, The Chinese University of Hong Kong, Shenzhen
Biography
Eunice completed her PhD in Applied Mathematics at Western University in 2019, where she specialized in numerical linear algebra, primarily in Bohemian Matrices. She worked with MEDICI as a post-doctoral fellow, where her primary research interests included using biostatistics, machine learning techniques, and data visualization tools in evidence-based decision making within global surgery. Eunice is now Assistant Professor, School of Medicine, The Chinese University of Hong Kong, Shenzhen (CUHK(SZ)).
Areas of Expertise
- Biostatistics
- Machine Learning
- Scientific Computing
- Numerical Linear Algebra
- Evidence-Based Decision-Making
Publications
- Chan EYS, Martin J, Cheng D. Magnitude of COVID-19 Deaths Relative to Other Leading Causes of Deaths in All Countries. (Submitted)
- Betteridge J, Chan EYS, Corless RM, Davenport JH, Grant J. Teaching Programming for Mathematical Scientists. (Accepted as book chapter of Mathematics Education in the Age of Artificial Intelligence.)
- Chan EYS, Corless RM. A Random Walk Through Experimental Mathematics. In: Bailey D. et al. (eds) From Analysis to Visualization. JBCC 2017. Springer Proceedings in Mathematics & Statistics 2020 vol 313. Springer, Cham. https://doi.org/10.1007/978-3-030-36568-4_14
- Chan EYS, Corless RM, Gonzalez-Vega L, Sendra JR, Sendra J, Thornton SE. Upper Hessenberg and Toeplitz Bohemians. Linear Algebra and its Applications 2020;601:72-100. https://doi.org/10.1016/j.laa.2020.03.037
- Chan EYS, Corless RM, Gonzalez-Vega L, Sendra JR, Sendra J. Algebraic linearizations of matrix polynomials. Linear Algebra and its Applications 2019;563:373-99. https://doi.org/10.1016/j.laa.2018.10.028
- Chan EYS, Corless, RM. Minimal Height Companion Matrices for Euclid Polynomials. Math Comput Sci 2019;13: 41–56. https://doi.org/10.1007/s11786-018-0364-2
- Chan EYS, & Corless RM. A new kind of companion matrix. The Electronic Journal of Linear Algebra 2017;32:335-342. https://doi.org/10.13001/1081-3810.3400