Andrea Catucci

Gen AI @ BMW Group | MSc Machine Learning @ LMU | BSc Stats&Maths @ Unibo

Munich, Bavaria, Germany

About

🎓 Strong foundation in Statistics, Mathematics, and Probability with hands-on experience in data science and AI. I’m passionate about using AI in the medical field, renewable energy, and other areas that create positive social impact or make everyday life more efficient. 🚀 Former researcher at UCLA and University of Bologna, focusing on solar power forecasting and computer vision applications in the medical field. Worked on pre-seed startup development with ArTwin and gained experience in innovation and early-stage product thinking. 🌍 Having lived in 4 countries, I thrive in international environments and love cultural exchange, collaboration, and interdisciplinary learning. 🥋 Sports enthusiast, black belt, and two-time regional karate champion — also a music lover, salsa dancer, and aspiring guitarist. 🤝 Always happy to connect and chat about AI, data, meaningful innovation (and travel tips)!

Experience

  • AI Researcher at BMW Group
    Mar 2026 - Present · 5 mos

    Researching and developing Gen AI features for BMW's next-generation vehicles.

  • Junior Robotics Engineer | PUMA Project at RoboTUM
    Oct 2025 - Feb 2026 · 5 mos

    Learned about ROS2 and data pipelines for the PUMA quadruped (2 LiDARs + 2 cameras), in collaboration with Reply GmbH.

  • Undergraduate Researcher at UCLA Department of Statistics and Data Science
    Mar 2025 - Sep 2025 · 7 mos

    Built spatio-temporal forecasting models for real-time solar power generation across 338 grid supply points (GSPs) in the UK. Supervised by Prof. George Michailidis.

  • Student Researcher at Bruin Sports Analytics
    Jan 2025 - Jun 2025 · 6 mos

    Developed an AI-powered natural language assistant, using RAG, for the UCLA Women’s Basketball Team, enabling instant insights into player and game performance data.

  • Undergraduate Research Assistant at Alma Mater Studiorum – Università di Bologna
    Feb 2024 - Jul 2024 · 6 mos

    Worked on a segmentation model to enhance pre-surgical diagnostics and identification of the IAN and the third molar under RTT Mazzitelli.