Gianluca Detommaso
ML Researcher at Fundamental
Barcelona, Catalonia, Spain
Summary
🤩
Rockstar🎓
Top SchoolGianluca Detommaso is an ML researcher with eight years of experience building reliable, risk-aware AI systems, currently working at Fundamental after leading AI Assurance and Simulation at Helsing in Barcelona. He holds a PhD in Statistical Applied Mathematics and has deep industrial experience from Amazon and AWS, where he focused on scalable probabilistic inference, uncertainty quantification (Fortuna), hallucination detection and calibration for LLMs (ICML paper). Gianluca combines research rigor with production impact—designing V&V pipelines, ODD evaluation, and safety guardrails for critical decision-making systems. He has led teams delivering video-consistent data augmentation and generative approaches for data acquisition, bridging simulation and deployed models. Known for turning probabilistic and causal methods into scalable tooling, he brings both academic depth and operational leadership to ML safety and trustworthy AI.
8 years of coding experience
4 years of employment as a software developer
Master of Arts - MA (Honour Program), Statistics & Applied Mathematics, Master of Arts - MA (Honour Program), Statistics & Applied Mathematics at Collegio Carlo AlbertoDoctor of Philosophy - PhD, Statistical Applied Mathematics, Doctor of Philosophy - PhD, Statistical Applied Mathematics at University of BathMaster of Science - MS, Mathematics, Master of Science - MS, Mathematics at Università degli Studi di Torino
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (102)
python10
deep-learning10
uncertainty10
bayesian-inference10
ai10
transformer10
nlp10
volatile10
natural-language-processing10
pytorch10
machine-learning10
uncertainty-quantification10
calibration10
speech-recognition10
statistics9
Programming languages (2)
Github contributions (5)
awslabs/fortuna
Nov 2022 - Mar 2023
A Library for Uncertainty Quantification.
Contributions:45 reviews, 77 commits, 223 PRs in 4 months
deep-learningbayesian-inferenceneural-networksuncertainty-quantificationconformal-prediction
gianlucadetommaso/Stein-variational-samplers
Mar 2018 - May 2019
Contributions:95 commits, 89 pushes, 1 branch in 1 year 2 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.