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Research Engineer, Industrial PhD Program

Bosch Research

• Developed efficient vision-language-action models for end-to-end autonomous driving, achieving 1.9x inference speedup while preserving 99% of baseline accuracy
• Mentored a master's student on interpretability of vision-language-action models, guiding development of attention visualization frameworks and decision attribution techniques
• Co-inventor on 6 patent disclosures covering vision-language architectures, multimodal perception systems, and end-to-end autonomous driving frameworks
• Led exploratory integration of HD map generation with vision-language models to enhance scene understanding

Software Developer Intern

Rigi Technologies S.A.

• Implemented emergency failsafe procedures for autonomous drones, including return-to-base protocols and mode transitions to ensure operational safety and regulatory compliance
• Developed path planning algorithms for drone navigation, boosting route efficiency in BVLOS delivery operations

Master of Science

EPFL - École Polytechnique Fédérale de Lausanne

Robotics

• Graduated with distinction (5.84/6.0). Focus: Robotics, Machine Learning, Deep Learning, NLP
• Master's thesis (grade 6.0/6.0): developed a reinforcement learning framework for neuromechanical simulations of zebrafish locomotion, outperforming hand-tuned neural models in complex environments
• Two-year research at BioRob Lab (Prof. A. Ijspeert) on zebrafish embodied neural circuits and bio-inspired control
• Teaching Assistant for the course 'Evolutionary Robotics' (Prof. D. Floreano); BioRob Laboratory Guide

Bachelor of Science

Politecnico di Torino

Electronic & Communications Engineering

• Graduated with highest honors (110/110 cum laude). Focus: Electronics, Computer Science, Control Theory
• Selected for competitive Honor Teaching Program (top-performing students)

Science Robotics Journal Cover Article

Science Robotics

Research on artificial embodied circuits featured on the cover of Science Robotics and covered by Italian national media

Energy efficiency and neural control of continuous versus intermittent swimming in a fishlike robot

Science Robotics

Co-author: Liu, X., Longchamp, F.A., Zunino, L., et al.

Artificial embodied circuits uncover neural architectures of vertebrate visuomotor behaviors

Science Robotics

Cover Article. Co-author: Liu, X., Loring, M.D., Zunino, L., et al.

Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning

Educational Data Mining Conference (EDM 2024)

Co-first author: Gado, E.G., Martorella, T., Zunino, L., et al.