Summary
Colin Rowat is a Senior Research Scientist based in Tokyo with 12+ years bridging academic research, fintech productisation and team leadership to turn quantitative ideas into profitable, auditable solutions. He specialises in connecting business cases to technical solutions—particularly in profit-maximisation and risk-aware ML—bringing formal verification, explainable AI and causal reasoning together to close the typical 10%+ performance gaps between models and management outcomes. A NeurIPS and ICLR-published researcher, NeurIPS area chair and series editor for the Oxford Research Encyclopedia of Economics and Finance, he has also built ML capacity at G-Research and founded a fintech applying formal proofs to risk models. He created and ran the MSc in Mathematical Finance at Birmingham for over a decade, taught practical risk analytics in code, and co-led substantial research grants and HPC committees. Comfortable speaking to audiences from TEDx to policy-makers, he combines economics PhD rigor with hands-on engineering and a track record of launching high-impact, low-cost projects (including a £20 brain–computer interface prototype).
12 years of coding experience
6 years of employment as a software developer
PhD, Economics, PhD, Economics at University of Cambridge
BA, Industrial Design, Psychology, BA, Industrial Design, Psychology at Carleton University
University of Toronto Schools