Curriculum Vitae

Last updated: March 9, 2026.

Experience

Science for Life Laboratory and Department of Biochemistry and Biophysics, Stockholm University

Current research affiliation

• Focus areas include deep learning, reinforcement learning, and protein structure.

Flox Robotics, Stockholm, Sweden

Co-Founder, Head of AI and Automation September 2019 - March 2024

• Led technical development across software architecture, autonomous drones, and IoT devices.
• Oversaw product development from ideation to launch, aligning engineering with business goals.
• Managed cross-functional teams and delivery milestones.
• Filed patent applications for robotics-based human-wildlife management solutions.

Inkonova AB, Stockholm, Sweden

Master Thesis Internship January 2020 - August 2020

• Developed an autonomous UAV exploration system for underground environments using reinforcement learning.

ITE A. Tambosi, Trento, Italy

High School Teacher (Computer Science) March 2019 - June 2019

Education

PhD Studies in Dependable Autonomous Systems

KTH Royal Institute of Technology, Stockholm, Sweden 2021 - 2022 (indefinitely paused)

• Focus: reliability, safety, robotics, formal methods, behavior trees, deep learning.

Master Degree in Autonomous Systems

KTH Royal Institute of Technology and University of Trento 2018 - 2020

Bachelor Degree in Computer Science

University of Trento, Trento, Italy 2015 - 2018

Skills

• Programming: Python, C++, Java, JavaScript, C#
• AI/ML: PyTorch, TensorFlow, OpenAI Gym, reinforcement learning
• Robotics: ROS2, Gazebo, UAV autonomy
• Engineering: IoT systems, full-stack development, DevOps collaboration

Volunteer Work

• Lead The Future Mentor (2020 - present): Mentoring Italian STEM students and supporting career development.
• CoderDojo Master, Trento, Italy (2016 - 2019): Volunteer computer science teacher for high school students.

Publications and Patents

Google Scholar snapshot as of March 2026: 12 citations, h-index 3, i10-index 0.

1. Energy-based flow matching for generating 3D molecular structure (2025, arXiv:2508.18949) - cited 4 times.
2. Verifying safety of behaviour trees in Event-B (2022, arXiv:2209.14045) - cited 5 times.
3. Comparison of collision avoidance algorithms for autonomous multi-agent systems (2020, IEEE COMPSAC) - cited 3 times.
4. Repellence system and repellence method for repelling animals (US Patent App. 18/698,913, 2025).
5. Repellence system and repellence method for repelling animals (US Patent App. 18/698,850, 2024).
6. Deep reinforcement learning method for autonomous exploration of unknown underground zones using aerial robots with 3D LIDAR (2020).