Spark Tseung

PhD Candidate, University of Toronto
Data Scientist, Reinsurance Group of America


I am a PhD candidate in actuarial science at the University of Toronto, advised by Profs. Andrei Badescu and Sheldon Lin. My primary research interest is insurance loss modelling using statistical and machine learning methods.Before moving to Toronto, I finished my bachelor's degree in actuarial science at the University of Hong Kong.I hold the FSA and CERA designations of the Society of Actuaries. I volunteer for this organization as well.I also work as a data scientist at RGA, a global life and health reinsurer.

Recent Work

  1. Chan, I. W., Tseung, S. C., Badescu, A. L., & Lin, X. S. (2023). Data Mining of Telematics Data: Unveiling the Hidden Patterns in Driving Behaviour. Submitted for review. Preprint available at arXiv:2304.10591.

  2. Fung, T. C., & Tseung, S. C. (2022). Mixture of experts models for multilevel data: Modelling framework and approximation theory. Submitted for review. Preprint available at arXiv:2209.15207.

  3. Tseung, S. C., Chan, I. W., Fung, T. C., Badescu, A. L., & Lin, X. S. (2023). Improving risk classification and ratemaking using mixture-of-experts models with random effects. Journal of Risk and Insurance. Manuscript available at

... and more


I listen to KPOP and JPOP.
I play some music games at advanced levels, including Taiko no Tatsujin, Pump It Up and O2Jam.
I casually play Tekken 7 with main character Ling Xiaoyu. I enjoy watching professional competitions as a fan of many Korean players.
I have been a member of the Theta Gang since 2020, playing with a number of options trading strategies learned in class.
I am -2.63 on the Economic Left and -5.13 on the Social Libertarian side according to the Political Compass. Also, I am (more or less accurately) classified as INTJ-T.

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