I'm passionate about leveraging advanced, contemporary technologies to better solve classic and critical problems in meteorology and climate science.Recently at Waymo I tackled broad weather and environmental challenges which impact autonomous vehicles. As a Technical Lead I worked horizontally across the engineering organization to understand weather-related problems, and to plan and push solutions to them in order to unblock the company's critical path towards its key product milestones for Waymo One and Waymo Via. In my previous role as the Chief Scientist at Tomorrow.io, I led a team of scientists and engineers to tackle challenging problems at the interface of meteorology, data science, and software engineering. We developed and productionized new systems and techniques for integrating novel, micro-weather observations into large-scale diagnostic systems which provide critical "weather intelligence" for our clients. We also brought to operational life new forecasting and analysis techniques leveraging the cloud and big data technologies. As an officer of the company I also contributed to strategic planning and decision-making. Prior to leaving academia, I was a research assistant and then post-doctoral scholar at the Center for Global Change Science and Institute for Data, Systems and Society at MIT. My research focused on the complex interactions between weather, climate, air quality, and human health. To accomplish this, I applied both statistical and dynamical models of the chemistry-climate system to understand how climate shapes air quality by influencing regional weather patterns and variability. I use these models to understand how climate change may perturb these relationships, producing poor air quality more frequently. With my group, we can then assess how this would impact human health, the economy, and ultimately feedback on climate change itself. Beyond my primary research and professional roles, I am interested in the continued development of global, crowd-sourced weather observation networks which might bolster numerical weather prediction and foster a weather-aware/savvy society, as well as resolving fundamental issues in climate science, in particular the role of aerosol interactions with clouds in the context of climate change. Furthermore, I am strongly involved in work at the interface of science and policy in sustaining the "innovation pipeline", and keenly interested in workforce challenges and opportunities that AI bring to the weather enterprise.