Summary
Mickaël Lalande is a postdoctoral researcher with nine years of experience specializing in Arctic and high-mountain cryosphere processes, currently improving snowpack representation in physically based models at the Takuvik Joint International Laboratory. He led an ESA CCI postdoctoral fellowship on snow cover heterogeneity and its impacts on Arctic climate and carbon cycles, driving improvements to the CLASSIC land surface model in collaboration with Environment and Climate Change Canada. His PhD work combined CMIP6 multi-model analyses and ORCHIDEE model development to investigate climate trends and topographic effects on snow in High Mountain Asia. Comfortable with coding and model development, he has a multidisciplinary background spanning physics, mechanical engineering, web development, and machine learning–driven oceanography. Known for bridging observational insight and process-level modeling, he brings practical experience integrating heterogeneity and topography into large-scale land surface schemes. Based in Quebec City, he combines rigorous academic research with applied collaboration to influence operational Arctic modeling.
10 years of coding experience