Copeland Laris
Copeland earned his undergraduate degrees from the University of California, Berkeley in Environmental Economics and Policy as well as Statistics. His academic and professional interests lie at the intersection of deep learning with geospatial/remote sensing data and climate-conscious technologies.
Outside of academia, Copeland is a former Division I athlete and now an avid ski mountaineer, ultra-runner, and rock climber. He has completed numerous high-altitude expeditions, including Denali, and several 100-mile ultramarathons.
Copeland en route to summit and ski Denali, the tallest mountain in North America
Copeland’s Resume
Copeland is a second-year master’s student at the University of Colorado Boulder, studying Data Science and Remote Sensing. His thesis, “Deep Spatiotemporal Learning and ConvLSTMs for Wildfire Forecasting in Sub-Saharan Africa,” explores deep learning approaches for extracting actionable insights from geospatial Sentinel-2 satellite imagery. He is also employed as a researcher in CU Boulder’s NSI Lab, where he conducts Space Domain Awareness research by developing machine learning models for real-time analysis of geostationary multispectral satellite imagery.
