A tropical climate variability and climate change researcher, an educator in Climate Science, and a Climate Informatics practitioner. Lover of anything cloud.
15+ years experience teaching Atmospheric Science up to the university level
20+ years experience working in climate science in the Caribbean and West Africa
Kim is easy going and is intrinsically a happy motivated person. She thoroughly enjoys her career in Atmospheric Sciences - studying in it, teaching it, and researching it. Kim has worked on an interdisciplinary problem that considers applying graph theory to Big Datasets, specifically satellite and climate model datasets, to provide spatio-temporal analysis of mesoscale features for weather analysis and climate model evaluations. She worked as a Data Scientist at NASA-JPL where she supported projects including the SciSpark project. In 2018, she pivoted her career towards cloud technologies, products and services. She worked at Microsoft as a Cloud Solution Architect - Data & AI and and an Applied Scientist up to 2023 flexing her climate informatics muscle further.
Kim participated in the Caribbean Climate Models Calendar 2016. This is a pedagogical and general awareness effort to increase awareness of the scientists in the Caribbean region, the research they are doing and the need for such research especially as it relates to the Caribbean.