Research Focus

Ben's scientific work is grounded in a core conviction: past data is the most reliable guide to the future. Real-world systems tend to stay within historical bounds, and those bounds can be measured. He builds empirical models to understand and predict how CO₂ is emitted and flows between the atmosphere, oceans, and land. Since co-founding Emmi, he has extended this approach to financial markets — quantifying how storms impact asset prices, how climate change affects company valuations, and using machine learning to measure emissions and transition risk.