Alperen Degirmenci is a Staff Robotics Research Engineer at NVIDIA's Seattle Robotics Lab.
Prior to joining SRL, Alperen worked on Autonomous Driving at NVIDIA, building and scaling learning-based autonomy at the intersection of research and product. He worked on latent-space world models, end-to-end learning, multi-modality object detection and tracking for autolabeling, and VLAs.
Alperen earned his Ph.D. and M.S. degrees in Electrical Engineering from Harvard University in 2018 and 2015 with a secondary field in Computational Science and Engineering, and his B.S. degree in Mechanical Engineering from the Johns Hopkins University in 2012, with minors in mathematics, computer science, robotics, and computer-integrated surgery. Alperen’s research at the Harvard Biorobotics Lab focused on real-time, high-performance algorithm development for medical ultrasound image processing and robotic procedure guidance in catheter-based cardiac interventions.
