Pau Sabater Nacher

Pau Sabater Nacher
Visiting Undergraduate Research Assistant

Department of Electrical and Computer Engineering
Northeastern University
Boston, MA 02115

Office: EXP

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Email: [email protected]

Biography

Pau Sabater Nácher was born in 2003 in Algemesí, Valencia. With a strong foundation in mathematics, fostered through participation in regional and national competitions, he was awarded (2021) a full merit-based scholarship to move to Barcelona to pursue a B.Sc. in Mathematics and B.E. in Physics at the Centre de Formació Interdisciplinària Superior (CFIS), Universitat Politècnica de Catalunya (UPC BarcelonaTech). Throughout his undergraduate studies, he actively engaged in multidisciplinary research and engineering projects. He began his applied work with the UPC EcoRacing Formula Student Team (2021), contributing to the development of high-performance electric vehicles. He later received a research grant at the Institute of Robotics and Industrial Informatics (IRI, CSIC-UPC), where he worked on high-dynamics control systems and intelligent robotics, focusing on drones and quadruped platforms (2022). Driven by an interest in high-performance computing and machine learning hardware, Pau joined Esperanto Technologies, where he contributed to the development of RISC-V-based ML accelerators for AI workloads (2023). He is further expanding his research experience at the i2CAT Foundation / NEC Laboratories, working on next-generation communication systems and affective computing, applying transformer-based models to 3D point cloud data.
He is currently completing his studies as a visiting researcher at Northeastern University, where he conducts research at the Ultrabroadband Nanonetworking Laboratory on THz-based wavefront engineering to enable robust, long-range wireless communications in obstructed environments. In parallel, he works at REVER (Y Combinator S22), contributing to AI-driven financial modeling and decision-support systems within large-scale reverse logistics operations. He is also part of the YCombinator-backed REVER (S22) team working on AI-supported financial decision-making.

Selected Honors and Awards

  • CSIC-UPC IniRec grant for research
  • 5 years of full residence and tuition scholarship for academic excellence
  • Several regional/national mathematics competition awards at the undergraduate level

Research

My research lies at the intersection of next-generation wireless communications, AI-driven signal processing, and high-performance computing systems, with a strong interdisciplinary foundation in applied mathematics and physics.

At the Robotics and Industrial Informatics Institute (IRI), I developed Intelligent Robotic Systems and High Dynamic Robotics applications for drones and quadrupeds at the RF level based on control theory, under the introduction to research (IniRec) grant from CSIC-UPC.
At i2CAT Foundation / NEC Laboratories, I worked on advancing 6G communication systems, focusing on high-frequency hardware design and AI-based modeling of THF-band channels, including the use of Transformer architectures for emotion recognition from 3D point cloud data. My broader interests include wavefront engineering for THz communications, quantum computing, and the use of AI for robust, real-time systems in complex environments.

In industry, my background in control theory and power electronics was applied at the UPC EcoRacing Formula Student Team, where I helped design embedded control systems for top-performance electric vehicles. I contributed to ML accelerator development at Esperanto Technologies, optimizing RISC-V-based parallel architectures for large-scale AI inference applications such as vision, NLP, and generative models. Currently, I do research and explore applications of machine learning and generative AI in financial decision-making as part of the YC-backed REVER (S22) team, working on predictive modeling and recommendation systems within a high-scale reverse logistics infrastructure.