Atmospheric Chemistry and Modeling Presentations and Panel

Casey Williams

Industry Liaison Officer

University of Kansas

https://www.linkedin.com/in/caseywilliamsphd/

Dr. Casey Williams serves as the Industry Liaison Officer for EARTH, leading partnerships across the HVACR value chain. With experience consulting for edtech and tech startups and working at the intersection of academia and industry, Casey specializes in translating research into real-world innovation. He has advised early-stage teams on strategy, product development, and data-driven decision-making while facilitating collaborations that accelerate commercialization. At EARTH, Casey is the primary point of contact for industry members, ensuring clear communication, aligned priorities, and strong integration between research and industry needs.

Jake Casselman

Postdoctoral Associate (Karamperidou Group)

University of Hawaiʻi, Mānoa

https://www.linkedin.com/in/jake-casselman/

Jake Casselman works at the intersection of climate variability, predictability, and real‑world decision‑making, examining how large‑scale modes like ENSO translate into impacts on energy systems, infrastructure, and operational risk. His interdisciplinary background spans atmospheric science, geochemistry, engineering, and African weather prediction, and he also serves as Co‑Founder and CEO of ClimaLinks, where he develops tools that turn weather and climate intelligence into actionable strategy.

Christian Salvador

Aerosol Science and Technology Research Staff

Oak Ridge National Laboratory

https://www.linkedin.com/in/christian-mark-salvador/

Dr. Christian Mark Salvador is an environmental and atmospheric chemist specializing in how anthropogenic emissions shape aerosol formation and atmospheric pollutants. At ORNL, he investigates uranyl aerosol chemistry and the effects of environmental conditions on particle formation.

Allen Vincent

Graduate Student (Sun Group)

University of Hawaiʻi, Mānoa

https://www.linkedin.com/in/allenv412/

Allen Vincent investigates the atmospheric life cycle of priority refrigerants using machine‑learning–enabled reaction dynamics simulations, with a focus on predicting how refrigerants interact with oxidants in the gas phase. His work includes developing autonomous reaction‑pathway search tools to estimate the global warming potential of refrigerant‑like molecules, advancing computational methods that support next‑generation refrigerant evaluation and design.