About Me

I am a PhD Fellow at the Technical University of Munich, where I specialize in deep generative models for tabular data under the supervision of Professor Gjergji Kanseci. Previously, I worked as a Junior Research Fellow at Sapienza University of Rome, focusing on deep learning-based generation and forecasting of financial time series. I hold both a B.Sc. and M.Sc. in Computer Science from Sapienza University, graduating with honors.

Research Focus

My research revolves around deep generative modeling, with a particular interest in applying these techniques to structured data. I have worked on projects like TRADES, a transformer-based diffusion model for market simulations, and TLOB, a dual-attention transformer model for stock price trend prediction. Additionally, I contributed to developing open-source frameworks such as DeepMarket and LOBCAST, which support deep learning research in financial modeling.

Beyond finance, I have explored deep learning applications in audio processing, developing a neural audio codec for multi-source music separation.