Lotem Nadir is an AI research scientist and algorithm engineer with eight years of experience applying computer vision and machine learning to medical devices and defense-grade systems. At Medtronic she led work on 3D reconstruction and unsupervised camera pose estimation in non-rigid environments, building on prior roles in object detection, segmentation and super-resolution. Her background spans deep learning interpretability and graph neural networks at Technion, generative and photorealistic simulation at Rafael, and NLP/STT projects from leadership in Unit 8200, giving her a rare combination of research rigor and product-focused engineering. She blends neuroscience training with practical software delivery, translating complex models into robust, safety-conscious solutions for regulated industries. Known for a playful curiosity (Github bio: "Heap heap array 🥳"), she favors elegant algorithmic approaches to noisy, real-world data. Based in Israel, she excels at turning ambiguous problems into measurable clinical and operational value.
8 years of coding experience
10 years of employment as a software developer
Master of Science - MS, Neuroscience, Master of Science - MS, Neuroscience at Technion - Israel Institute of Technology
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