Summary
Yuji Fujita is a seasoned mathematical researcher and manager with 15+ years leading statistical analysis, algorithm development, and simulation-driven studies at Turnstone Research Institute and as a policy research officer for Japan’s Cabinet Office. He earned a PhD in simulation study and has applied complex-network visualization and large-scale user-behaviour analysis to diverse domains—from automated trading systems and social network extraction to satellite-image environmental assessment and structural damage estimation. Technically hands-on, he has implemented high-performance tools (including a Ruby extension for GRAPE-7 n-body simulation) that visualized relational datasets with hundreds of millions of nodes. Yuji bridges academic rigor and policy-relevant applied research, generating reproducible reference data and statistical pipelines for machine learning and decision-making. Based in Yokohama, he combines deep theoretical math with practical system development to tackle interdisciplinary, large-scale data problems.
15 years of coding experience
2 years of employment as a software developer
MS, mathematics, MS, mathematics at Tokyo Institute of Technology
Doctor of Philosophy - PhD, simulation study, Doctor of Philosophy - PhD, simulation study at University of Hyogo