~/fabio
Fabio Merizzi
Researcher in neural models, working on meteorology, interested in everything
email | github | linkedin | researchgate | scholar
about
I am a researcher working on deep learning for meteorology. After completing my PhD at the University of Bologna, I moved into industry research, where I design neural models for weather-related applications. My background is in scientific machine learning, with a focus on generative models.
Check out my wind forecasts with diffusion models at: fasterweather.com
research interests
- generative models
- downscaling
- subseasonal forecasting
publications
- Andrea Asperti, Fabio Merizzi, et al. (2025). Precipitation nowcasting with generative diffusion models. Applied Intelligence.
- Fabio Merizzi, et al. (2024). Wind speed super-resolution and validation: from ERA5 to CERRA via diffusion models. Neural Computing and applications.
- Fabio Merizzi, et al. (2026). Controlling ensemble variance in diffusion models: an application for reanalyses downscaling. Neural Computing and applications.
- Fabio Merizzi, et al. (2026). Vision Transformers for Multi-Variable Climate Downscaling: Emulating Regional Climate Models with a Shared Encoder and Multi-Decoder Architecture. Neural Computing and applications.
- Andrea Asperti, Ali Aydogdu, Angelo Greco, Fabio Merizzi et al. (2026). Deep learning for sea surface temperature reconstruction under cloud occlusion. Applied Ocean Research.
- Fabio Merizzi, et al. (2024). Deep image prior inpainting of ancient frescoes in the Mediterranean Alpine arc. Heritage Science.
- Andrea Asperti, Davide Evangelista, Samuele Marro, Fabio Merizzi. (2024). Image embedding for denoising generative models. Artificial Intelligence Review.
- Nadia Pocher, Mirko Zichichi, Fabio Merizzi. (2023). Detecting anomalous cryptocurrency transactions: An AML/CFT application of machine learning-based forensics. Electronic Markets.
- Pavlo Seroyizhko, Zhanel Zhexenova, Muhammad Zohaib Shafiq, Fabio Merizzi et al. (2022). A sentiment and emotion annotated dataset for bitcoin price forecasting based on reddit posts. Proceedings of the Fourth Workshop on Financial Technology and Natural Language Processing (FinNLP).