About

Valerio Perrone is an Applied Science Manager at Amazon Web Services, Berlin. 

He leads a cross-functional team of engineers and scientists in the development of Amazon Q, the most capable generative AI-powered assistant for accelerating software development.  

Valerio holds a PhD in Machine Learning from the Oxford-Warwick Statistics Programme (OxWaSP), where he was part of the Oxford Statistical Machine Learning group (OxCSML). During his PhD he interned at Amazon, Berlin, and at DeepMind, London, working in the Science team on deep learning for protein folding prediction.

Research

Valerio's expertise is in the areas of machine learning, statistics, deep learning and AI systems. He is interested in developing algorithms and services for large-scale machine learning and Bayesian models for data-driven decision making, with the goal of democratizing artificial intelligence. He has applied his work to automatic ML, computer vision, natural language processing, meta-learning, and fairness, authoring 30+ peer-reviewed papers in top-tier journals, conferences and workshops.