CV

Experience

Research Assistant in MARL
ALPI Lab, University of Zurich, supervised by Giorgia Ramponi
Research Intern in MARL for Zero Shot Coordination
Collaborative AI Centre, supervised by Andreas Bulling and Constantin Ruhdorfer

Investigating how joint attention can support zero-shot coordination in cooperative multi-agent reinforcement learning.

Master Thesis — Gaze Estimation and Eye Contact Detection
MMTLab, University of Brescia, supervised by Matteo Lancini

Developed an eye contact detection approach during naturalistic caregiver–infant interactions and assessed its accuracy. Part of VIPPSTAR.

Research Intern in ML for Anesthesia Control System
Control Research Group, University of Brescia, supervised by Antonio Visioli

Developed ML models to optimize anesthesia control systems by predicting patient's level of consciousness. Part of ACTIVA Project.

Research Papers

Grounded Joint-Attention Other-Play for Zero-Shot Coordination
G. Benintendi, C. Ruhdorfer, F. Kögel, A. Bulling
Under review at AAAI 2027

DreamTeam: Training Cooperative Agents in Imagined Worlds
C. Ruhdorfer, A. H. Güzel, S. K. Majumdar, G. Benintendi, M. Bortoletto, I. Bogunovic, J. Parker-Holder, A. Bulling
Under review at NeurIPS 2026

Education

M.Sc. in Industrial Automation Engineering
University of Brescia & Sorbonne University

Double Degree Program in Robotic Systems at Sorbonne University.

B.Sc. in Industrial Automation Engineering
University of Brescia, Final Grade: 110/110 cum laude.

Projects and Competitions

Human-Robot Interaction Playground (GitHub)

Benchmarked imitation learning algorithms (BC, DAgger, DAgger with replay buffer) on MuJoCo locomotion tasks.

1st Place – ISSA PULIRE AI-for-Cleaning Hackathon 2025 (AI Orchestrator)

Real-time platform using CV and automatic task allocation to optimize cleaning operations in stadium-scale environments.

Technical Skills