Rita Laezza is a software engineer and robotics researcher with eight years of experience bridging medtech product development and academic AI research. After an MSc in Biomedical Engineering she developed clinical software for companies like Breas and Wellspect, then pursued a WASP-AI PhD focused on reinforcement learning for deformable object manipulation—an underexplored niche in robotics. Her work blends deep learning, mechatronics, and practical software engineering, with hands-on experience from industry roles to postdoctoral projects at Chalmers. Now based in Gothenburg and working at Cubist, she brings a rare combination of clinical-domain understanding and cutting-edge RL methods for real-world robotic manipulation.
8 years of coding experience
1 year of employment as a software developer
Bachelor’s Degree Biomedical/Medical Engineering, Bachelor’s Degree Biomedical/Medical Engineering at Instituto Politécnico do Porto
High School Science and Technology, High School Science and Technology at Escola Secundária Eça de Queirós
Doctor of Philosophy - PhD Mechatronics Robotics and Automation Engineering, Doctor of Philosophy - PhD Mechatronics Robotics and Automation Engineering at Chalmers University of Technology
IDEA League Summer School Responsible Robotics and AI, IDEA League Summer School Responsible Robotics and AI at Delft University of Technology
Contributions:45 pushes, 1 branch in 2 years 5 months
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