Romain Lacombe is a versatile professional with a strong focus on leveraging machine learning and deep reinforcement learning to drive advancements in various fields. His work spans from accelerating molecular conformation generation to designing catalysts for clean energy technologies, assessing expert confidence in climate statements, extracting molecular properties from natural language, and enhancing extreme weather event detection using neural networks. With a background in technology innovation, open government data, and environmental policy, Romain has made significant contributions to initiatives like open data task forces and academia, where he teaches courses on digital innovation strategy. His expertise extends to research in energy and environmental policy, renewable energy, and chemicals, with notable success in making air quality information accessible to the public, leading to an acquisition by AccuWeather in 2021.
Areas of Expertise
Advocacy, air quality monitoring & solutions, cleantech, community engagement & social impact, data science, energy economy, entrepreneurship, environmental health, extreme weather, machine learning, public policy, renewable energy, research, systems engineering
