Max is a data scientist at NCX working to connect every American forest landowner to net-zero pioneers. His doctoral training was in quantitative ecology, and he earned an undergraduate degree in wildlife biology. Using Bayesian hierarchical models and deep learning, Max develops probabilistic models of forest carbon and deforestation using earth observation data from diverse sensors. His previous work spans many systems and approaches, including extreme value theory, natural hazards, and disease ecology. He also contributes to open source software projects in Python and R, to foster open, reproducible, and reliable science.