Summary
Lorién Villellas is a PhD student and researcher in High-Performance Computing with eight years of experience accelerating bioinformatics and molecular dynamics through hardware-aware algorithms and performance engineering. She has designed and implemented parallel algorithms integrated into GROMACS, vectorized genomics applications across Arm and RISC-V, and evaluated performance and energy on diverse CPUs and accelerators. Her work bridges algorithm design and computer architecture—covering parallelization, vectorization, memory-trace-driven analysis, and even SystemVerilog vector unit development. She has collaborated with industry (AMD internships) and national research centers (Barcelona Supercomputing Center) to inform next-generation CPU/GPU memory hierarchies and chip evaluation. As a teaching assistant she mentors students in parallel and vector programming while co-supervising HPC theses, bringing research insights directly into curricula. Notably, she combines low-level hardware tracing and VHDL/SystemVerilog experience with practical, high-impact software optimizations for scientific applications.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, High Performance Computing, Doctor of Philosophy - PhD, High Performance Computing at Universidad de Zaragoza
Master in Innovation and Research in Informatics - High Performance Computing, Computer Engineering, Master in Innovation and Research in Informatics - High Performance Computing, Computer Engineering at UPC School (Universitat Politècnica de Catalunya)
English, Spanish