Summary
Dennis Núñez is a research-focused machine learning engineer and PhD candidate at CEA / Inria / Université Paris-Saclay working on real-time motion correction for high-resolution brain MRI using deep learning and reinforcement learning. With a decade of experience across academia and industry, he has applied DL to healthcare, NLP, and preventive maintenance at institutions including Nokia Bell Labs, Università di Padova, and AGH, and has presented work at NeurIPS, ICML, ICLR and CVPR. A top-ranked graduate (first in his BSc class, top two in his MSc cohort), he blends strong electronics and embedded-systems roots with advanced statistical training from an MITx MicroMasters. He reviews for NeurIPS and ICLR and brings practical deployment experience, from FPGA imaging for satellite applications to multilingual NLP in low-data regimes. Based in Paris, he combines deep technical rigor with broad intellectual interests spanning cybersecurity, physics, mathematics and philosophy, which inform his interdisciplinary approach to neuroimaging problems.
10 years of coding experience
5 years of employment as a software developer
M.Sc., Digital Sciences, M.Sc., Digital Sciences at Université Paris Cité
B.Sc., Electronic Engineering, B.Sc., Electronic Engineering at Universidad Nacional de Ingeniería
School of Artificial Intelligence, School of Artificial Intelligence at Pi School
Program in Statistics and Data Science, Program in Statistics and Data Science at MITx MicroMasters in Statistics and Data Science
Spanish, English, French