Executive leaders. Technical specialists. One team.

Prof. Amy Shi-Nash is an impact-focused Executive, Founder, Professor and Board Member with 25 years’ experience leading enterprise-scale transformation across highly regulated industries and high-growth startups globally. She specialises in applying data, AI, and technology to enable disruptive business models and build scalable, customer-centric platforms with durable commercial advantage. She has held senior leadership roles at Tabcorp, CBA, HSBC, and NAB, and co-founded DataSpark, scaling it into a profitable data-monetisation business across five countries. She holds a PhD, MBA, GAICD and Honorary Doctorate.

Jizhizi holds a Ph.D. in Artificial Intelligence from the University of Sydney, specialising in machine learning, computer vision, multimodal learning, and generative AI. Her work spans diffusion models, image generation and editing, and the integration of LLMs and multi-agent AI to connect perception, reasoning, and creativity. With experience across academic research and industry innovation—including peer-reviewed publications and hands-on roles in leading tech environments—she brings together deep technical expertise and practical application. Known as a fast, adaptive learner, she believes continuous curiosity is essential to advancing the future of AI.

Dickson drives transformation by applying disruptive technologies, with a focus on Artificial Intelligence, to deliver measurable improvements in productivity, decision-making, and business outcomes. He leverages AI to unlock efficiency and insights from unstructured data, enabling teams to accelerate value creation, solve complex problems, and enhance innovation across organisations. His work equips knowledge workers with intelligent tools that amplify impact, streamline processes, and deliver tangible results in real-world operations.

Nghia is a senior AI researcher and hands-on practitioner with 20 years of experience building and scaling enterprise AI systems that deliver measurable business impact. He specialises in Generative AI, LLMs, ML, NLP, semantic technologies, and knowledge graphs, with expertise in data pipelines, model optimisation, vector search, RAG, and full MLOps/DevOps automation. He has led teams to deliver AI solutions with 99.7% uptime, 4–5x productivity gains, and tangible operational and commercial outcomes, translating advanced AI into secure, scalable products while shaping AI roadmaps, modernising platforms, and embedding responsible AI practices.

Dr. Shuai Lu is an Associate Professor at the Shenzhen International Graduate School of Tsinghua University, and an Honorary Associate Professor at the University of Sydney. His research focuses on AI for housing and sustainable cities, AI-aided architectural design, and green building design, integrating artificial intelligence with architectural and urban systems to support sustainable built environments.

Sabrina holds a PhD in Statistics, specialising in Bioinformatics, and brings over 15 years of experience in higher education. At Imperial College London, she designs and co-leads an innovative health data and machine learning programme with real-world impact.

Her work spans large-scale health data analytics, statistical machine learning, and data science, informed by experience across retail banking, investment management, and startups. Passionate about AI-driven productivity, Sabrina is known for a curiosity-led, experimental mindset, combining hands-on prototyping with adaptable problem-solving to tackle complex, messy challenges.

Ning is a seasoned data science and AI practitioner with an international career spanning the U.S., Australia, and New Zealand. She brings Silicon Valley experience and a strong foundation in applied statistics, combined with exceptional adaptability and a rigorous, first-principles approach to problem solving. Her work spans diverse industries including healthcare, SaaS, finance, and enterprise technology. Known as a critical thinker who thrives in ambiguous environments, Ning consistently translates complex problems into practical, high-impact outcomes.

Dominic has over 20 years of experience in the investment industry, having worked in London as a senior equity research analyst at UBS and Deutsche Bank, covering transport, business services, and chemicals. He has a strong foundation in financial analysis from a business valuation background, with differentiated expertise in applying Python and data science to company- and industry-level investment research.

Dominic believes in combining the power of AI with traditional investment analysis to better understand the complexity and intricacy of financial datasets.

Professor Richard Xu is a distinguished academic and technology leader with over 25 years of experience driving commercial and scholarly impact through applied AI and machine learning innovation. As the founder of an AI startup, he accelerates the development of AI-driven intellectual property solutions. Currently serving as a Professor of Mathematics, he has held senior academic and research leadership roles across multiple universities and global tech firms, spearheading data science innovation for over a dozen corporate and government partners. Richard also serves in prominent advisory and community-building roles, having founded one of Australia’s largest AI networks and represented national interests at ISO meeting. Recognized as a Key Opinion Leader in AI education with a global following of tens of thousands, he is dedicated to demystifying complex concepts and empowering the next generation to deeply understand and command artificial intelligence.

John is an executive product and technology leader with 25+ years’ global experience in regulated MedTech and deep-tech. He has led safety-critical product platforms, scaled global teams, driven enterprise healthcare innovation, and holds 22 medical device patents. He operates at the intersection of engineering depth, regulation, and executive leadership.