Researcher @ ISTI CNR, Pisa, Italy. Main interests: Computer Vision, Deep Learning, Artificial Intelligence.
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ISTI CNR
Data Scientist
June 26, 2026 – Present
diffusion_semi_supervised_biomedical_image_segmentation
April 2, 2025 – April 2, 2025
diffusion_semi_supervised_biomedical_image_segmentation — GitHub repository
View Projectwhitefly_estimation_sticky_traps
October 10, 2023 – January 2, 2024
Code to reproduce the experiments performed in "A Deep Learning Approach for Automatic Estimation of Whitefly Pest Populations in Chromotropic Sticky Traps" published in the Ecological Informatics journal.
View Projectbus-violence-benchmark-eval
September 12, 2022 – January 13, 2023
bus-violence-benchmark-eval — GitHub repository
View ProjectMC-GTA
April 12, 2022 – October 28, 2024
Official implementation of "MC-GTA: A Synthetic Benchmark for Multi-Camera Vehicle Tracking" presented at ICIAP 2023
View ProjectMOBDrone_eval
March 15, 2022 – September 27, 2022
Code for evaluate the MOBDrone dataset - https://arxiv.org/abs/2203.07973
View Projectattentive_video_crowd_counting
March 9, 2022 – December 6, 2023
Code for reproducing the results for the paper "A Spatio-Temporal Attentive Network for Video-Based Crowd Counting"
View Projectcounting_perineuronal_nets
February 12, 2021 – April 12, 2023
counting_perineuronal_nets — GitHub repository
View ProjectVirtual-to-Real-Pedestrian-Detection
January 9, 2020 – July 25, 2024
Code and Resources for our paper "Virtual to Real adaptation of Pedestrian Detectors" - https://www.mdpi.com/1424-8220/20/18/5250
View Projectdeep-parking
January 26, 2018 – August 30, 2023
Code to reproduce 'Deep Learning for Decentralized Parking Lot Occupancy Detection' paper.
View ProjectCultural Fit Analysis
The candidate's project portfolio is highly specialized in academic research and deep learning applications, which aligns well with a research-heavy Data Scientist role. However, the lack of diverse project types (e.g., product development, business intelligence, MLOps) and limited information on team collaboration or broader industry experience suggests a potentially narrow cultural fit for roles requiring a wider range of data science applications or cross-functional collaboration. The single listed professional experience as 'Data Scientist' at ISTI CNR is current but lacks details.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's experience is heavily research-focused, which may indicate strong problem-solving and analytical skills, but collaboration and communication in a team setting are not evaluated.