Education
PhD in Computer Science · TU Dresden / NCT
September 2024 – present · Expected completion: summer 2027
Towards safe, expressive, and efficient robot learning. Translational Surgical Oncology group, led by Prof. Stefanie Speidel.
MSc in Machine Learning · KTH Royal Institute of Technology
2020 – 2024 · Stockholm, Sweden
BSc in Engineering of Computing Systems · Politecnico di Milano
2017 – 2020 · Milan, Italy
Experience
Teaching Assistant & Thesis Supervisor · TU Dresden
September 2024 – present
Supervision of BSc, MSc, and team-project students on soft-body simulation and online reinforcement learning, 3D imitation learning, action tokenization, flow matching, policy quantization, and preference-based reward modeling.
Machine Learning Engineer Intern · Ultramarin GmbH
July 2023 – August 2024 · Berlin, Germany
- Deployed a neural-network ensemble model with explainability insights.
- Developed infrastructure for concurrent local experiments and remote container workloads using Asyncio.
- Built a multiprocessing portfolio-computation package to improve memory usage and runtime.
Technical background
Learning: PyTorch, Transformers, multimodal encoders, VAEs, GANs, flow and diffusion models, Mixture-of-Experts, Vision-Language-Action policies, and reinforcement learning.
Robotics: ROS / ROS 2, surgical manipulation, simulation, real-time control, sensor recording, and deployment on physical robots.
Engineering: Python, C/C++, Hugging Face, LeRobot, TorchAO, ExecuTorch, Hydra, OpenCV, Docker, Kubernetes, GCP, Linux, ARM, and x86.
Schools and training
- Reinforcement Learning Summer School, Politecnico di Milano · 2026
- Hamlyn Winter School, Imperial College London · 2024
- ScaDS.AI Summer School on AI and Big Data, Leipzig · 2023
Language skills
- Italian
- Spanish
- English
- German