Summary
Nathalia Cespedes is a research-focused engineer blending biomedical engineering, an MSc in Electronics, and ongoing PhD work in Computer Science at Queen Mary University of London to create socially assistive human-robot interfaces for healthcare. With eight years of experience across academic and applied roles at Imperial College and Colombian institutions, she specializes in conversational systems for dementia reminiscence therapy and wearable data integration. Her background spans hands-on robotics deployments for pediatric CP rehabilitation to teaching programming and demonstrator roles, reflecting both technical depth and strong communication skills. Unusually for a researcher, she bridges biomaterials knowledge from orthopaedics with human-robot interaction, enabling interdisciplinary solutions that connect sensor hardware, conversational AI, and clinical contexts.
8 years of coding experience
1 year of employment as a software developer
Grado en Ingeniería, Biomedical/Medical Engineering, Grado en Ingeniería, Biomedical/Medical Engineering at Universidad del Rosario
Master of Science - MS, Electrical and Electronics Engineering, Master of Science - MS, Electrical and Electronics Engineering at Escuela Colombiana de Ingeniería Julio Garavito