About Me
I am a Senior Machine Learning Scientist at Nxera Pharma, where I work on molecular AI. Previously, I was a Postdoctoral Researcher at Imperial College London (UK), focusing on Generative AI for accelerating scientific discovery, in the groups of Alexander Ganose and Yingzhen Li. I hold a Ph.D. in Computer Science from the University of Liverpool (UK), under the supervision of Yannis Goulermas, Vladimir Gusev, Michael Gaultois, Rahul Savani and Matthew Rosseinsky. I received my MSc degree in Pure and Applied Mathematics from the University of Rome "Tor Vergata".
You can find a list of my publications here.
Generative AI
I develop generative AI models, including diffusion, flow matching and autoregressive methods for (un)structured data.
Multi-modal Learning
I'm focusing on models that integrate multiple modalities and representations, such as text, graphs, point clouds and scientific data.
Molecular AI
I build AI systems for molecular design and discovery workflows, from inverse design to hypothesis generation, to help accelerate the discovery of new drugs and materials.
From Research to Impact
I'm passionate about turning ML methods into practical tools that tackle concrete, real-world problems in industry.
Previous Industry Projects
Discovery of new Transparent Conductors using Machine Learning
Oct 2020 — Dec 2024ML-guided search to accelerate the discovery of new transparent conducting materials, an important class of semiconductors with a wide range of applications.
Funded by NSG Group