2023
A short paper on large professional networks, community structure, and homophily at scale.
README
About Me
Research, full-stack web development and LLM applications across a wide range of technical domains.
Background
I majored in Economics at Keio University's PhD. Program, where I conducted research on Labor and Education Economics. My curiosity and passion for technology has led me to work on a variety of projects in software engineering and research, from payments platforms, through the study of large social networks, to the application of generative AI to solve real-world problems.
Current interests
- Process optimization through Generative AI.
- Fun applications of AI agents.
- LLM training and fine-tuning.
- Fast prototyping
- Mountains, camping and pomeranians.
Featured builds
Highlighted tools, papers, and collaborations
bigergm
Fit, simulate, and diagnose hierarchical exponential-family models for large network data.
R2024
homophily-community-structure
Large-scale community structure research applied to professional network data.
Economics2023
oup-2018-prize-winner
ISS-OUP Prize 2018 award-winning paper on Japan's Equal Employment Opportunity Act and the gender wage gap.
Economics2018
lighthergm
Open-source research software for large-scale network analysis and statistical modelling.
RSource
Selected publications
Check my ORCID profile for a comprehensive list of my research work.
publications
2021
Panel-data analysis of how aging workforces in Japanese companies relate to lower hiring of new graduates.
2018
Empirical work on crime, education decisions, and short-term household responses.