Francesco Orabona

Francesco Orabona is a prominent figure in the field of machine learning, known for developing practical algorithms rooted in robust theoretical foundations. His expertise lies in creating novel solutions for specific problems, ensuring theoretical optimality, and enhancing system performance.

Specializing in online learning algorithms for handling big data and transfer learning algorithms for small data scenarios, Francesco has successfully implemented his algorithms in various applications such as ad click prediction, image categorization, and robotic control.

Francesco pursued his academic journey by earning a PhD in Bioengineering and Bioelectronics from Università degli Studi di Genova and a Master's degree in Electronic Engineering from Università degli Studi di Napoli Federico II.

Throughout his career, Francesco Orabona has held several key positions at esteemed institutions. He currently serves as an Associate Professor at Boston University and has previously worked as an Assistant Professor at both Boston University and Stony Brook University. Additionally, he has contributed his expertise as a Senior Research Scientist at Yahoo Labs, a Research Assistant Professor at Toyota Technological Institute at Chicago (TTIC), and a Postdoctoral Researcher at University of Milan and IDIAP Research Institute.

Francesco's academic journey also includes enriching stints as a Visiting Researcher at Technion - Israel Institute of Technology, Helsinki University of Technology, and University of Genova. His vast experience and in-depth knowledge have made him a notable figure in the machine learning community.