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Marlene Pinzi
Computer Vision, Machine Learning and Artificial Intelligence Lead Engineer presso Additive Instruments
Professional Background
Marlene Pinzi is a highly accomplished biomedical engineer with a specialization in Robotics for Neurosurgery, demonstrating an impressive blend of academic prowess and practical experience in the field of medical technologies. Currently, Marlene serves as the Computer Vision, Machine Learning, and Artificial Intelligence Lead Engineer at Additive Instruments, where she leverages her extensive knowledge to push the boundaries of medical innovations. Her role involves guiding teams in developing cutting-edge solutions that enhance surgical precision and promote the integration of technology in healthcare environments.
Marlene has previously held the position of Assistant Research Engineer at Imperial College London, where she honed her skill set in machine learning and computer vision, critically contributing to various projects that intersect technology and medicine. Furthermore, her foundational research as a PhD student at the MiM lab at Imperial College focused on robotics for neurosurgery, specifically in navigation and path planning, underscoring her commitment to advancing surgical robotics.
Education and Achievements
Marlene's educational journey stands out due to her rigorous training in biomedical engineering and robotics. She earned her Bachelor's degree in Biomedical Engineering from the prestigious Politecnico di Milano, achieving a notable score of 102 out of 110, showcasing her strong academic performance. Building upon that success, she pursued further education through a Master's project in Mechatronics in Medicine at Imperial College London, where she explored the convergence of engineering and medicine.
Marlene also broadened her academic horizons through an Erasmus program at Universidad Politécnica de Madrid, providing her with diverse cultural and educational experiences. She later completed her Master's degree in Biotechnologies in Electronics, once again at Politecnico di Milano, where her drive for excellence was evident in her performance, attaining a score of 106 out of 110. Marlene concluded her studies with a Doctorate in Philosophy (PhD) in Mechatronics in Medicine, focusing her research on surgical robotics at Imperial College London. Her academic achievements and interdisciplinary background lay a strong foundation for her career as a biomedical engineer.
Notable Achievements
Throughout her impressive career, Marlene has earned recognition for her unique ability to combine technical knowledge with innovative thinking. Her proactive approach as a researcher demonstrates her commitment to solving complex problems creatively. As an entrepreneur, Marlene exudes contagious enthusiasm that inspires her colleagues and fosters collaboration within teams.
In her professional endeavors, Marlene has developed strong problem-solving skills, making her a reliable resource in high-stakes environments. She has embraced challenges with a team-oriented mindset, proving that cooperation and trust are essential components of her work ethic. This combination of skills ensures that Marlene remains at the forefront of advances in biomedical engineering and robotics for neurosurgery, contributing significantly to the ongoing evolution of medical technologies.