Edvin Jaras

Edvin Jaras is a researcher at SIMPLEX QUANTUM, Inc. since April 2021, with prior experience in various engineering and research roles. Notable positions include researcher at 株式会社Lily MedTech, focusing on 3D ultrasound breast image motion artifact correction using machine learning, and as a robotics engineering intern at Rapyuta Robotics, where calibration and error-correction of Intel RealSense cameras were addressed. Edvin has a strong background in hardware engineering from LeapMind, Inc., emphasizing FPGA design for machine learning, and software engineering roles at ARM, contributing to GPU driver instrumentation and OpenGL ES emulation. Education includes a Master of Science in Bioengineering and Biomedical Engineering from The University of Tokyo and a Bachelor of Science in Artificial Intelligence from The University of Edinburgh.