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As Instructor (at HKU)

Value theory (Spring 2024). Topics include theories of welfare (well-being),  Expected utility theory and veil of ignorance, Harsanyi's utilitarian theorem, and Variable population problems

Paradoxes of decision (Spring 2024). Topics include Expected utility theory, Social choice theory, Causal decision theory, and Game theory

Fundamentals of AI, Data and Algorithms (MA course, Fall 2023, Co-taught with Boris Babic). Topics include Introduction to R studio, Neural networks, Deep learning, Reinforcement learning, and Natural language processing.


Formal Epistemology (HKU); Paradoxes of decision (HKU); Deductive logic (Lingnan).