Bruce Ferguson

Background

About Bruce Ferguson

In Finance: I’ve spent two decades applying Machine Learning to Quantitative Finance, crafting trading strategies that deliver exceptional Sharpe Ratios and robust performance across Equities, Options, and Futures. More recently I've started delving into cryptocurrencies. Highlights include creating a $600M AUM fund ranked 3rd globally on a risk-adjusted basis and building ML-driven high-frequency co-located trading platforms that traded millions of shares daily. My expertise spans market microstructure, statistical arbitrage, and automated trading system design, with a focus on integrating disparate data sources to develop strategies effective across multiple time scales. In AI / ML: With a career rooted in AI/ML, I’ve tackled challenges across Geophysics, Finance, Telecommunications, and Robotics. My work has included training Neural Networks to predict seismic porosity, developing Deep Reinforcement Learning models for autonomous robots, and designing Anomaly Detection systems for edge AI. By leveraging advanced AI/ML techniques and Systems Thinking, I've transformed complex datasets into actionable insights, enabling solutions that range from reverse-engineering competitor strategies to empowering robots to navigate intricate environments. I focus on innovative applications of AI/ML to solve real-world problems and create lasting impact. Epoch Stride: A DeepTech / HardTech / Medtech startup developing groundbreaking AI & Robotics solutions aimed at transforming the lives of individuals with disabilities, equipping them with the tools they need to overcome accessibility barriers and lead fuller, more independent lives. Using Deep Reinforcement Learning and a simulated environment (Physics engine) to coax a robot to teach itself how to walk.