Tsang Ka Wai

1. 2004 – 2009

   The Chinese University of Hong Kong · Mathematics

   Three years of undergraduate study (BS, First Class Honours) and two years of M.Phil under the supervision of Prof. Jun Zou. This is where abstraction became a habit — and where I first learned that a clean proof and a clear explanation are different skills.

2. 2009 – 2015

   Stanford University · Financial Mathematics & ICME

   MS in Financial Mathematics, then PhD in Computational and Mathematical Engineering under Prof. Tze Leung Lai. Stanford sharpened the link between stochastic models and decisions under uncertainty.

3. 2015

   Academia Sinica · Postdoc · Visiting Instructor at Stanford

   Post-doctoral research with Prof. Ing Ching-Kang at the Institute of Statistical Science (Taipei, Taiwan), plus a short stretch as visiting instructor in Stanford Statistics — research and teaching side by side.

4. 2015 – Present

   CUHK-Shenzhen · Associate Professor (Teaching), SDS

   Joined CUHK-Shenzhen in December 2015. I am now Associate Professor (Teaching) in the School of Data Science, coordinating the Statistics program and working on curriculum, advising, and how AI can support statistics learning.

Three things this line taught me

• Use AI to enhance teaching and learning

  I am actively studying how AI can help students learn statistics — clarifying ideas, practicing judgment, and getting feedback — without replacing the teacher’s role.

• Teach the decision, not only the formula

  Time series and forecasting courses work best when every method ends with “what claim can we make next week?”

• Build the program, not only the lecture

  Curriculum committees, advising, and admissions are how a statistics education becomes a coherent path rather than a course list.