The Founders

Jonathan Yang

Co-Founder & Engineer

Jonathan is a co-founder of KMY Capital and the engineer behind the platform itself — from the site you're reading now to the infrastructure that powers the firm's quantitative research. He graduated in May 2026 with a BS in Finance and Data Science from the University of Illinois Urbana-Champaign, where he built a rigorous foundation spanning financial modeling, statistical analysis, and applied machine learning.

At KMY, Jonathan serves as the software engineer responsible for all operational infrastructure — designing and developing this site, managing the firm's AWS EC2 environment, and overseeing the research pipeline. On the strategy side, he is the architect of KMY's quantitative trading research — designing and stress-testing systematic approaches that draw from game theory, market simulation, and evolutionary dynamics. His work models how trader populations adapt over time in response to shifting market information, treating markets not as static mechanisms, but as living, evolving ecosystems.

Prior to KMY, Jonathan interned at DBS Bank in Taipei, contributing to the migration of critical production code from SAS to AWS PySpark and gaining direct exposure to the DBS-Citi merger across retail banking, credit, and lending operations. He also works as a Research Study Assistant at the University of Tokyo, applying deep learning and computer vision to behavioral analysis for autism prediction using OpenFace, OpenPose, and Python.

Jonathan's intellectual interests span chess, physics, engineering, biology, and anatomy — disciplines that share a common thread: complex systems governed by underlying rules. That perspective informs how he builds at KMY, with an eye not just for what works today, but for what holds up as conditions change.

John Mai

Founder & CFO

John is the Founder of KMY Capital and leads the firm's financial strategy, capital management, and investment operations — translating rigorous financial analysis and data-driven thinking into real market execution. He graduated from NYU Stern with a degree in Finance and Data Science, combining structured financial reasoning with continuous strategy refinement grounded in data.

At KMY, John serves as Chief Financial Officer, overseeing the firm's accounts, capital flows, and overall financial structure. Beyond traditional CFO responsibilities, he plays a central role in designing, modifying, and stress-testing trading strategies across equities, futures, and options — transforming complex financial statements, market data, and macro signals into clear investment theses and executable strategies.

Prior to founding KMY, John gained experience across equity research, private credit, and PwC's tax practice, where he worked closely with financial statements under tight deadlines. Before his finance career, he served as a squad leader in the Taiwan military, coordinating personnel and supporting operations for over 120 individuals — an experience that developed his leadership under pressure and ability to manage responsibility with discipline.

Outside of work, John has served as treasurer of a table tennis club and holds a strong interest in chess — both of which reflect his inclination toward strategy, pattern recognition, and competitive thinking. He approaches markets as dynamic systems that reward discipline, adaptability, and continuous learning.

Charlie Ku

Co-Founder & Quantitative Researcher

Charlie is a researcher and quantitative developer whose work sits at the intersection of stochastic control, game theory, and the numerical methods that bring theoretical results to life. Charlie graduated with a B.S.E. in Operations Research and Financial Engineering from Princeton University, with minors in Computer Science, Mathematics, and Music. His academic foundation spans stochastic calculus, real analysis, optimization, machine learning, and game theory, and his research centers on mean field games and N-player dynamic systems, with particular focus on the convergence behavior of Nash equilibria as player populations scale.

At Princeton, Charlie developed a body of theoretical and computational work extending results in the Tangpi-Touzi framework — building out numerical validation suites, proving structural properties of Jacobians at consensus equilibria, and identifying novel spectral phenomena in the noise behavior of finite-player algorithms. Beyond research, he served as Course Assistant for both COS226 (Algorithms and Data Structures) and COS445 (Economics and Computation), grading proof-based assignments spanning matching theory, auction theory, and game theory. He also interned at Academia Sinica's Institute of Information Science in Taipei, conducting research on streaming graph algorithms and contributing to work on semi-streaming approaches for graph girth determination.

Charlie has competed internationally across multiple disciplines. He placed 4th overall at the 2024 Harvard Undergraduate Trading Competition, developing and operating quantitative trading strategies under live simulation conditions. As a teenager, he represented Taiwan at the International Economics Olympiad, placing 11th among 217 contestants from 44 countries. And long before university, he was performing at the highest levels of international piano competition — including as the youngest candidate at the Ferruccio Busoni International Piano Competition in Italy — a discipline that cultivated the same qualities his research demands: precision, pattern recognition, and the willingness to sit with hard problems until they resolve.

At KMY, Charlie serves as a trading analyst focusing on developing actionable systematic strategies that balance risk and return. By combining real financial data with his past research experience, his work involves transforming theoretical results into practical solutions that deliver empirical results.