Julio Hoffiman Mendes, recipient of the 2018 Syvitski Student Modeler award Stanford University
Julio was awarded for his geostatistical contributions and advances in high performance computing. His submission, ImageQuilting.jl: A code for generating realistic 3D subsurface models from data collected in flume experiments. Julio developed techniques originating from data visualization sciences into new algorithms to unraveling landscape patterns into small patches and quilting them back together into synthetic sets of images to quantify uncertainty in sedimentary architecture. Advisor: Jef Caers, Stanford University
