Computation, systems, and economic infrastructure.
Most projects begin with one of three things:
- missing tooling
- inaccessible information
- systems that need modelling
Current interests:
- econometrics and inference
- networked systems and simulations
- distributed/backend engineering
- computational social science
- spatial and urban systems
- protocol and API analysis
- information infrastructure
Typical work involves:
- data pipelines
- reverse engineering
- asynchronous systems
- statistical analysis
- mathematical modelling
- automation
- low-level tooling
I mostly build analytical and research infrastructure rather than finished products.
The recurring theme across projects is understanding how complex systems behave: markets, platforms, institutions, cities, networks, and the information flowing through them.