Summary
Daniel Crane is a Tokyo-based Chief Information Officer with 11 years of hands-on AI/ML and research experience, now leading Covert AI’s technology and operations. He built end-to-end systems that replicate and surpass human performance in domains such as sports analytics, leveraging metric learning, object detection/tracking, and instance segmentation. Previously he led research at SoftBank’s Beyond AI institute and contributed to autonomous driving, visual computing, and deep reinforcement learning at Ascent Robotics and Rakuten, where he won an MVP for a fraud-detection image search tool. He holds a PhD in Mathematics and a strong teaching background, having delivered courses in machine learning, scientific computing, and mathematical foundations. Comfortable bridging academia and product teams, he often drives collaborations with universities and medical departments to translate research into deployable systems. An analytical thinker who still codes in production, he combines rigorous mathematical training with pragmatic engineering to move novel AI research into operational value.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Mathematics, Doctor of Philosophy (Ph.D.), Mathematics at University of Leicester
English, Japanese, python