Summary
Juan Noguera is a PhD student at Johns Hopkins University's Laboratory for Computational Sensing and Robotics, specializing in surgical robotics, simulation for training and data generation, and AI applications in healthcare. With nine years of engineering experience and strong Python and C++ skills, he builds end-to-end research software that bridges algorithm development and practical robotic systems. His industry internship at Johnson & Johnson focused on automatic skill assessment for a robotic bronchoscopy platform, highlighting a track record of translating research into clinical-facing tools. Educated in mechatronics and industrial engineering (Universidad Nacional de Colombia, Purdue), he combines multidisciplinary rigor with hands-on robotics teaching and outreach experience. Based in Baltimore, he’s equally comfortable prototyping simulations for data generation as he is developing real-world ML pipelines for surgical performance evaluation. Notably, his background in classroom robotics outreach reflects a longstanding commitment to making engineering accessible and impactful.
9 years of coding experience
Grado en Ingeniería, Mechatronics, Robotics, and Automation Engineering, 4.4, Grado en Ingeniería, Mechatronics, Robotics, and Automation Engineering, 4.4 at Universidad Nacional de Colombia
Master of Science - MS, Industrial Engineering, Master of Science - MS, Industrial Engineering at Purdue University
Bachillerato, Bachillerato Colombiano, Bachillerato, Bachillerato Colombiano at Colegio San Jorge de Inglaterra
French, English, Spanish, German