About Me

Hello! I’m a third year Data Science Ph.D. student at Sapienza University of Rome, where I’m a member of the PINlab group.

In my ongoing Ph.D. program I delved into topics such as multi-body pose forecasting, scene-aware pose forecasting, exploring higher-order topologies in data and in-context learning for procedural anomaly detection.

Currently, my primary research focuses on the captivating domains of embodied AI and multi-modal learning, where we are working to develop AI systems that perceive and interact with their environments more like humans.

My academic journey has been diverse. I earned a bachelor’s in Economics, emphasizing Macroeconomics and Econometrics, providing a unique perspective on data-driven problems. For my master’s, I shifted to Data Science, focusing on Computer Vision.

News

09/2023: Our Paper “PREGO: online mistake detection in PRocedural EGOcentric videos” has been accepted at CVPR 2024!

09/2023: Our Paper “Staged Contact-Aware Global Human Motion Forecasting” has been accepted as oral at BMVC 2023!

07/2023: We won the ICML 2023 Topological Deep Learning Challenge!

06/2023: We received the award for the best paper at CVPR 2023 Precognition workshop!

05/2023: Our Paper “Best Practices for 2-Body Pose Forecasting” has been accepted at CVPR 2023 Precognition workshop!

04/2023: Our Paper “About latent roles in forecasting players in team sports” has been accepted at ICLR 2023 workshop AI4ABM - International AI for Agent-Based Modelling Community as an oral presentation!