
PhD Student @ AImageLab
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University of Modena and Reggio Emilia
Data Scientist
June 30, 2026 – Present
MAs-DiT
May 13, 2026 – Present
Few Channels Draw The Whole Picture: Revealing Massive Activations in Diffusion Transformers
View ProjectVHS
March 19, 2026 – Present
[CVPR2026 Findings] VHS: Verifier on Hidden States, an efficient inference-time scaling verification framework for DiT-based image generation.
View Projectpv-ai-detector
April 28, 2025 – May 10, 2025
[EUPVSEC2024] Redefining Failure Detection in PV Systems - A Comparative Study of GPT-4o and ResNet’s Computer Vision in Aerial Infrared Imagery Analysis.
View ProjectAR-Objects-Relocation
May 11, 2023 – May 11, 2023
Project for objects relocation in an AR environment, through the use of Lenovo ThinkRealityA3 smart glasses, Snapdragon spaces SDK and its spatial anchor feature.
View ProjectUnity-Pointcloud-Streaming
February 12, 2023 – February 12, 2023
Project developed in collaboration with other two students which aims at analyzing feasibility and implementing strategies to perform low latency streaming of point cloud data over the internet using Unity and Stereolabs ZED camera. We proposed several solutions trying to reach this goal.
View ProjectPerson-ReID
February 12, 2023 – February 12, 2023
University project for Person Re-Identification task
View ProjectUnsupervised-Domain-Adaptation
February 12, 2023 – February 12, 2023
Deep Learning project for Unsupervised Domain Adaptation
View ProjectEvolutionary-F1-Race-Strategy
March 30, 2022 – August 22, 2023
Evolutionary F1 Race Strategy [GECCO 2023] - Genetic Algorithms applied to F1 race strategy using the F1 2021 game data and real data from Pirelli F1.
View Projectreply-code-challenge-2022
March 10, 2022 – March 18, 2022
Reply Code Challenge 2022. We ranked #129 on 2820.
View ProjectCultural Fit Analysis
The candidate demonstrates a strong interest in cutting-edge AI/ML research and development, as shown by projects like 'pv-ai-detector', 'VHS', and 'MAs-DiT'. The diversity of projects, from AR/VR to evolutionary algorithms and computer vision, suggests an adaptable and curious individual. The current role as a Data Scientist at a university aligns well with a research-heavy, innovative environment. However, the lack of professional experience beyond a university setting and the focus on personal projects might indicate a need for adaptation to a more structured corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a proactive and research-oriented individual. Participation in code challenges and collaborative projects indicates a capacity for problem-solving and teamwork. However, without specific psychometric or English test scores, a detailed assessment of communication, stress handling, and team collaboration is not possible.