Summary
Fabio Massoli is an AI researcher and senior staff manager at Qualcomm AI Research with nine years of experience bridging particle physics, deep learning, and mobile software. His work spans reinforcement learning, LLM efficient reasoning, generative modeling, and inference-time optimization, advancing practical ML for resource-constrained environments. Fabio’s background includes PhD-level Monte Carlo simulation for XENON dark matter experiments and hands-on Android development, which gives him a rare fluency across large-scale scientific computing and product-focused engineering. He has taught advanced deep learning topics and contributed to adversarial-robustness and anomaly detection research during academic visits to institutions like ISI and Columbia. Based in Amsterdam, he combines rigorous statistical and simulation expertise with applied ML research aimed at deployable, compute-efficient models. An accomplished pianist by training, he brings a disciplined, creative perspective to complex technical problems.
9 years of coding experience
7 years of employment as a software developer
Nanodegree, Self-Driving Car Engineer Nanodegree, Autonomous driving, Nanodegree, Self-Driving Car Engineer Nanodegree, Autonomous driving at Udacity
University of Bologna
Bayesian Methods for Machine Learning, Bayesian Methods for Machine Learning at Высшая Школа Экономики
Diploma, Pianoforte, Diploma, Pianoforte at Conservatorio di Musica L. Perosi
Certificate of Quantum Excellence, Quantum Computing, Quantum Machine Learning, 78/100, Certificate of Quantum Excellence, Quantum Computing, Quantum Machine Learning, 78/100 at 2021 Qiskit Global Summer School on Quantum Machine Learning
Italian, English, Japanese