Summary
Heinich Sufan is a PhD candidate in Computer Science at Université de Limoges with a decade of experience accelerating numerical simulations and building high-performance libraries for heterogeneous architectures. He designs and implements parallel algorithms using CUDA, MPI, and OpenMP, and routinely optimizes C++ and Python code for GPUs and multi-core systems. His industry internships—at Adobe, Synopsys, and research groups—translate academic advances into production-quality geometry-processing and EDA tooling, including contributions to Adobe’s in-house Lagrange library. He also has applied his skills to practical domains like geophysics and mining through visualization platforms and 3D mesh algorithms, demonstrating a knack for turning complex scientific problems into performant software.
9 years of coding experience
1 year of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Universidad de Chile
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Université de Limoges