My research focuses on Computer Architecture, from hardware RTL design and verification to software programming models of novel architectures. I have previously worked in the hardware industry at Arm, contributing to the design and verification of three GPU projects; at Cerebras Systems, creating High-Performance Computing kernels; and at AMD Research, working towards designing the next generation data centers optimized for large graph data structure traversal. At Princeton, I have contributed in two academic chip tapeouts that aims to improve the performance, power and programmability of several emerging workflows in the broad areas of Machine Learning and Graph Analytics.
PhD in Computer Science, Current
Dissertation: Navigating Heterogeneity and Scalability in Modern Chip Design
Master's in Computer Science, 2021
BSc in Computer Science. 2017
University of Murcia (Spain)
GPA: 9.65/10. Ranked 1st of the class.
Thesis: An Indoor Location and Guidance System with Automated User Trajectory Analysis.
International exchange. Computer Science, 2015-2016
University of Hasselt (Belgium)