Dr. Nam Le

Founder & Developer | Machine Intelligence Applied to Finance

10+ years in AI/Machine Learning • 5+ years applied to Time Series & Finance

About

10+ years building AI and machine learning systems. 5+ years specifically applied to time series analysis, algorithmic trading, and quantitative finance.

PhD in Computer Science with research focus on evolutionary algorithms, artificial life, and complex adaptive systems. Expertise spans deep reinforcement learning, neural network design, and chaos theory—all applied to understanding market dynamics.

Founded BunnyQuant to make intelligent, data-driven trading strategies accessible. The platform combines 10+ years of AI research and 5+ years of applied quantitative experience into three progressive tiers: from foundational momentum signals to advanced risk-reward optimization.

Research Areas

Evolutionary Algorithms

Genetic programming, optimization under uncertainty, adaptation mechanisms

Artificial Life & Collective Intelligence

Emergent behavior, multi-agent systems, swarm dynamics, agent-based modeling

Deep Reinforcement Learning & Neural Networks

Control with sparse feedback, high-dimensional state spaces, learned representations

Chaos & Complexity in Finance

Non-linear dynamics, regime detection, hierarchical market structure

Core Insight Behind BunnyQuant

Markets are complex adaptive systems where millions of agents continuously adapt and evolve strategies. They exhibit emergent hierarchical structure: what's noise on a 1-minute chart is real structure on a 1-day chart.

This insight—combined with decades of research in evolutionary computation, collective intelligence, and deep RL—informs every feature in BunnyQuant: multi-horizon analysis, probabilistic scenario modeling, tail risk quantification, and market cycle detection.

Connect & Discuss

Have questions about the research, methodology, or want to discuss evolutionary computation and market structure? Reach out or connect through any of these channels:

X / Twitter@namlehai
YouTube@Drnamlabs

Teaching: Chaos Theory in Computational Finance

Master's course at University of Southampton

View course materials on GitHub →

How BunnyQuant Works

Explore the methodology connecting evolutionary thinking to market analysis.

Read Methodology