Our team

Meet the team

The people who build and lead FDEHK.COM.

Professional Background

Accomplished Data and AI Governance leader with over 20 years of experience across HKSTP, HKMA, and HKEX. Specializes in AI adoption, AI governance, use case development, and data governance, with extensive experience in emerging technologies and regulatory environments. Proven track record in helping organizations translate AI opportunities into responsible, practical applications through governance frameworks, use case training, and enterprise data initiatives.

Project Highlights

AI Adoption, Governance & Use Case Enablement

Scope
Developed AI adoption and governance approaches to help organizations identify, assess, and prioritize practical AI use cases, supported by training for business and technology teams.
Key Outcome
Enabled teams to move beyond AI experimentation with clearer governance, stronger use case awareness, and a structured approach to responsible AI adoption.

Hong Kong & Shenzhen Cross-Border Data Verification Platform (DLT & DID)

Scope
Spearheaded the data architecture for a cross-border data verification platform in collaboration with HKMA, leveraging DLT nodes and DID protocols.
Key Outcome
Enabled privacy-preserving, tamper-proof verification across participating institutions without centralizing sensitive data, establishing a foundation for trusted cross-border data exchange.

Cross-Industry Federated Learning & Privacy Platform

Scope
Architected and deployed a Privacy-Preserving Computation framework using Federated Learning across insurance and healthcare data environments.
Key Outcome
Enabled cross-domain AI and analytics without transferring raw customer data from native environments, demonstrating how advanced AI applications can operate under stringent privacy requirements.

HKMA Interbank Account Data Sharing (IADS)

Scope
Supported data standardization architecture and stakeholder coordination for the IADS initiative across 29 participating banks in Hong Kong.
Key Outcome
Helped establish unified data definitions and customer-consented data-sharing foundations, strengthening the data infrastructure required for future analytics, automation, and AI adoption.

Specialized Areas

  • AI Adoption & Use Case Development
  • AI Governance, Risk & Responsible AI
  • AI Use Case Training & Workforce Enablement
  • Data Governance, Privacy & Regulatory Compliance
  • Emerging Technology & Data Architecture

Academic Qualifications

  • CDMP Master — Certified Data Management Professional (Master Level, DAMA)
  • AIGP — Certified AI Governance Professional (IAPP)
  • CIPP/E — Certified Information Privacy Professional/Europe (IAPP)
  • PMI-PMP & PMI-ACP — Project Management Professional & Agile Certified Practitioner
  • Lean Six Sigma Black Belt — Process Optimization & Quality Management
  • CISSP — Certified Information Systems Security Professional
  • PMI-CPMAI — Certified Professional in Managing AI

Professional Background

Co-founder of Bullseye Education, a Hong Kong STEM and AI education organisation established in 2014. Has long researched the practical use of AI tools in teaching and creative work, and shares AI application insights with teachers and students in primary and secondary schools and at teacher-training sessions. Focuses on helping schools take a practical first step in adopting AI, from classroom activities that teachers can adapt to training that builds confidence with the tools.

Project Highlights

AI Classroom and the “AI Builder” Series

Scope
Developed and published a series of practical examples showing teachers how to build interactive classroom resources with Gemini Canvas, from a single prompt to a few steps, such as an animated respiratory-system diagram, a water-evaporation lab and Chinese culture quizzes.
Key Outcome
Gave teachers ready-to-adapt activities across Chinese, science and cultural studies, with teacher verification built into each activity.

First AI Creative Video Competition

Scope
Organised an inter-school competition inviting students to create video works with AI tools, followed by an awards ceremony and winner sharing sessions.
Key Outcome
More than 50 schools and over 150 teams took part, and the student entries were praised in e-zone coverage as professional-level.

School AI Adoption and Teacher Training

Scope
Provides school-based teacher training and AI courses from primary to tertiary level, including programmes suited to the Education Bureau’s AI for Empowering Learning and Teaching Support Scheme (「智」啟學教支援計劃).
Key Outcome
Shared frontline observations on how schools can take the first step in adopting AI, in an e-zone interview with co-founder Derick (September 2026).

Bullseye Education: STEM and Technology Education Since 2014

Scope
Co-founded and built a Hong Kong organisation that brings STEM, robotics, drone and AI courses to schools and companies. Partners include Makeblock (official education partner in Hong Kong), CoSpaces and Roblox (training partner), and HKSTP and HKPC Academy (honorary partner).
Key Outcome
Has taught STEM at over 200 primary and secondary schools and served more than 10,000 students and working professionals. In 2022 became the first organisation in Hong Kong to offer Drone Soccer training courses to schools.

Specialized Areas

  • AI Tools in Teaching & Learning
  • AI-Assisted Creative Work
  • Teacher Training & AI Workshops
  • School AI Adoption
  • STEM & Emerging Technology Education

Media & Sharing

  • e-zone interview: 「學校推行 AI 的第一步」 (September 2026), with co-founder Derick
  • Shares AI application insights in primary and secondary schools and at teacher-training sessions

Professional Background

Over 10 years of experience in financial markets, across institutional dealing, multi-asset execution and trading operations, with first-hand knowledge of how trading, risk and compliance workflows actually run. Focuses on turning manual operational processes into structured, monitored and auditable systematised processes, and on developing and introducing the right AI tools to raise business efficiency.

Project Highlights

  • Risk Monitoring & Trading Operations Automation
  • AI-Assisted Research & Workflow Tool Development
  • Intelligent Assistant & Data Masking Framework: Development and Deployment

Specialized Areas

  • Process Systematisation & Workflow Automation
  • Financial Markets Operations & Compliance
  • Business AI / LLM Integration

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