Home#
Let me briefly introduce myself:
I am an Economics PhD student and a university head tutor/associate lecturer (see my teaching) based at the Australian National University. My research focuses on the theory of dynamic programming and its applications in economics, finance and artificial intelligence, as well as high performance computing (see my research for more details). My chair supervisor is John Stachurski with Timothy Kam and Fedor Iskhakov on my supervision panel.
I am also a research associate at QuantEcon. From June 2020 to December 2021, I worked full-time as the chief research associate for John Stachurski and Tom Sargent to develop their textbook project. So far, two of their textbooks, Economic Networks: Theory and Computation and Dynamic Programming, have been published by Cambridge University Press. In the meantime I have led the development of QuantEcon’s lecture series, Quantitative Economics with JAX, A First Course in Quantitative Economics with Python and Continuous Time Markov Chains (For specific QuantEcon lectures I developed, see here). Currently, I work with QuantEcon on a casual basis, collaborating with Tom, John and many others including (but not limited to) Matthew Mckay, Andrij Stachurski, Jingni Yang, Aakash Gupta, Oyama Daisuke, Humphrey Yang, and Smit Lunagariya.
Deeply influenced by my paternal grandfather from an early age and later by my supervisors, on the one hand, I love mathematics, economics and computer science. On the other hand, I enjoy writing, reading history, playing sports, cooking, visiting nature, and exploring fine art (see my miscellaneousness). In my spare time, I compete as a table tennis player and coach both kids and adults at Table Tennis Australia (See my level 1 coach certificate).
Research interests#
Fields:
Mathematical, computational and network economics and finance
High performance computing
Topic: Dynamic programming theory and applications
Heterogeneous-agent models (e.g., optimal saving problems, firm dynamics)
Heavy tails and their generating mechanisms
Distributional dynamics of agents, such as individuals, households, firms, government, etc.