Scholar
Federico Ottomano
Google Scholar ID: aCAlBk8AAAAJ
Postdoctoral researcher in Generative AI at Imperial College London
Citations & Impact
Citations
22
H-index
3
i10-index
0
Publications
7
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- A list of publications can be found here.
Research Experience
- Currently a postdoctoral researcher at Imperial College London working on Generative AI; previously involved in an ML-guided search project for discovering new transparent conducting materials (Oct 2020 — Dec 2024), funded by NSG Group.
Education
- Ph.D. in Computer Science from the University of Liverpool (UK), supervised by Yannis Goulermas, Vladimir Gusev, Michael Gaultois, Rahul Savani, and Matthew Rosseinsky; MSc in Pure and Applied Mathematics from the University of Rome 'Tor Vergata'.
Background
- Research Interests: Generative AI, AI-driven materials discovery, deep learning for material property prediction, representation learning, and inverse materials design using deep generative models. Particularly interested in Geometric Graph Neural Networks, Contrastive Learning, and Diffusion Models.
Co-authors