Mimi is a English and Australian qualified lawyer with over 17 years of experience in legal practice, academia, tech, financial services, government, and international organisations. She started her first business at the age of 18. Mimi is a renowned expert in law and deep tech, as a World Economic Forum Expert on Blockchain and Justice, a member of the World Bank’s Access to Justice and Technology Taskforce, a member of the UNIDROIT Working Group on Digital Assets and Private Law, and a founding advisory board member of the Asia-Pacific Legal Innovation and Technology Association. She holds DPhil in Law and BCL degrees from the University of Oxford. At Oxford, she co-founded the Deep Tech Dispute Resolution Lab.
Tatiana is a Machine Learning Engineer, Technical Lead and IT Project Manager with extensive expertise in applied natural language processing for legal and financial industries. She is also a lawyer with over five years of practicing experience at top tier international law firms and in-house. She has won multiple legal tech and fintech competitions and she advises Blockchain and AI enabled startups on implementing technology strategies, international expansion, and regulatory compliance. Tatiana is also a DPhil candidate in Computer Science at the University of Oxford and she holds Master’s degree in Law and Finance from the University of Oxford.
Yuhang is a computer scientist with expertise in computer vision, neural network design, and environment perception in self-driving. He has published numerous articles on computer vision and machine learning, and their applications in solving real-word problems. Yuhang has won numerous AI and robotics competitions internationally. He has also worked as a deep learning scientist at several leading global tech companies, including Baidu. He is currently completing his DPhil in Computer Science at the University of Oxford.
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