Curriculum Vitae PDF
Experience
| 2025 – now |
Postdoctoral Researcher, AIRLab, Politecnico di Milano Continual multimodal learning and robustness to distribution shift; small language models. Technical lead in industry- and EU-funded projects.
|
| Apr – Jul 2024 |
Visiting PhD Student, CERC-AAI Lab, Mila – Quebec AI Institute (Prof. Irina Rish) |
| 2020 – 2025 |
PhD Student, AIRLab, Politecnico di Milano (Prof. Matteo Matteucci) |
| 2020 |
Research Intern, AIRLab, Politecnico di Milano |
Education
| 2025 |
PhD in Information Technology (Computer Science and Engineering), Politecnico di Milano Thesis: Road representations for autonomous navigation: offline mapping, online detection and dynamic adaptation
|
| 2019 |
MSc in Computer Science, McMaster University, Canada (double degree) Thesis: A study on lane detection methods for autonomous driving
|
| 2019 |
MSc in Computer Science and Engineering, Politecnico di Milano (110/110 cum laude) Thesis: Autonomous vehicle heading and centerline displacement estimation via computer vision
|
| 2016 |
BSc in Engineering of Computing Systems, Politecnico di Milano (110/110 cum laude) |
Summer schools
| 2023 |
International Computer Vision Summer School (ICVSS), Sicily, Italy |
| 2023 |
European Summer School on Artificial Intelligence (ESSAI), Ljubljana, Slovenia |
Publications (2 journal, 11 conference, 4 workshop papers)
Full list on the Publications page and on Google Scholar.
Funded projects
| 2026 – now |
AgrifoodTEF, EU Digital Europe Programme (total budget €60M)Technical lead of a Polimi service; supervising an MSc thesis
|
| 2026 – now |
LUX Sostenibile, industry-funded research projectTechnical lead; managing a team of 5
|
| 2021 – 2023 |
Road digital twins, industry-funded research projectResearch collaborator
|
| 2018 – 2020 |
TEINVEIN, Regione Lombardia, POR FESR 2014–2020 (total budget €13.9M)Research collaborator
|
Teaching (180+ h in total)
| 2025 – now |
Advanced Topics in Machine Learning and Neural Networks (MSc), Vita-Salute San Raffaele UniversityTeaching assistant, 20 h/yr
|
| 2023 – now |
Fondamenti di Informatica (Foundations of Computer Science, BSc), Politecnico di MilanoTeaching assistant, 20 h/yr
|
| 2023 |
Informatica e Elementi di Informatica Medica (Computer Science and Medical Informatics, BSc), Politecnico di MilanoTeaching assistant, 20 h
|
| 2022 |
Robotics with ROS, training course for Edison S.p.A., Politecnico di MilanoCo-instructor, 6 h
|
| 2021 – 2022 |
Robotics (MSc), Politecnico di MilanoTeaching assistant, 20 h/yr
|
Mentoring
MSc theses co-supervised (15)
| Ongoing |
Continual adaptation for Vision-Language-Action models |
| Ongoing |
Road infrastructure detection from mobile mapping data via self-teaching |
| Ongoing |
Smartphone-assisted embedded control system for precision agricultural spraying |
| Oct 2026 |
Farzin Nasiri, An Analysis of Discrete Image Tokenizers under Perturbations and Distribution Shift
|
| Jul 2026 |
Valerio Ceccarelli, Beyond attention: efficient small language models for domain-specific tasks
|
| Jul 2025 |
Riccardo Tripodi, Exploring diffusion-based approaches for the generation of Implicit 3D representations
|
| Apr 2024 |
Xiaoyu Luo, Continual learning for embodied AI: An empirical study of forgetting and transfer in visual odometry
|
| Apr 2024 |
Chiara Magri, Neural Tangent Kernels for Maximum Mean Discrepancy: A Comprehensive Analysis
|
| Oct 2023 |
Erica Ceriotti, An EKF-SLAM approach to plant counting
|
| Jul 2023 |
Matteo Zinzani, Design, development, and validation of a skid-steering robot for agricultural terrains
|
| May 2023 |
Mirko Usuelli, The Lord of the Sensors: A Multi-Sensor Framework for SLAM
|
| May 2023 |
Riccardo Cortelazzo, Mapping of road markings for lane-based HD map generation
|
| Dec 2022 |
Cristian Sbrolli, Single-view shape reconstruction via Image-Conditioned 3D diffusion
|
| Jul 2022 |
Milad Naseri Langehbiz, Real-Time stabilization of inverse perspective mapping by exploiting lane markings invariants and vehicle angular velocity
|
| Dec 2021 |
Barbara Gallazzi, Clothoid-SLAM: simultaneous localization and mapping of line markings for autonomous driving HD maps
|
Student teams
Awards & grants
| 2024 |
ISCRA-C compute grant (Principal Investigator), CINECA LEONARDO – 10,000 GPU-hours |
| 2024 |
ISCRA-C compute grant (Co-Investigator), CINECA LEONARDO – 10,000 GPU-hours |
| 2023 |
Departmental award for international summer school, Politecnico di Milano (DEIB) |
| 2023 |
Travel grant for ESSAI 2023, EurAI |
| 2022 |
Departmental award for top-tier publication, Politecnico di Milano (DEIB) |
| 2017 |
Double degree scholarship, EU Erasmus+ KA107, Politecnico di Milano |
Service
| 2020 – 2026 |
Peer reviewer: IEEE T-ITS, PNAS Nexus, IEEE ICRA, IEEE ITSC, IEEE IV, IEEE MetroXRAINE, ACM ETRA |
Technical skills
| ML frameworks |
PyTorch, PyTorch Lightning, Hugging Face, LLaMA-Factory, vLLM, Avalanche, Weights & Biases |
| Scale & HPC |
Multi-node GPU training (FSDP, DeepSpeed, mixed precision); parallel data processing and large-scale dataset construction (multiprocessing, WebDataset); Slurm on the lab's GPU cluster and on HPC systems (LEONARDO, Compute Canada, Mila, OLCF) |
| Models |
LLMs, vision-language and any-to-any multimodal models, discrete image tokenizers, autoregressive image generation; object detection and segmentation (YOLO, U-Net, SAM) |
| Programming |
Python, C/C++, Bash; Linux, Git, Docker; agent-assisted coding (Claude Code, Codex, Copilot) |
