Peer-reviewed research.
Real-world portfolios.
I translate rigorous academic finance research into actionable insights for your actual investment decisions.
Try the tools →Decades of peer-reviewed research have established what works in finance—and what doesn't. Yet most investors struggle to apply these findings to the assets they can actually trade.
I bridge that gap. I build tools and analyses that make rigorous research accessible and actionable.
No hype. No predictions. Just established research, carefully applied.
Background
I hold a BSc in Mathematics from Caltech and MSc in Mathematics in Science and Engineering from the Technische Universität München, and passed CFA Level I. Before starting Adame Quantitative Research, I spent several years applying mathematical methods to real-world problems in finance and quantum computing.
At QC Ware (Palo Alto), I developed proof-of-principle solutions for clients including BMW, Equinor, and TotalEnergies. At Wells Fargo, I worked on limit order book modeling and market microstructure, building classical benchmarks for emerging computational methods.
I have published peer-reviewed research in the Journal of Mathematical Physics, Quantum Science and Technology, and the ACM International Conference on AI in Finance.