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Curriculum Vitae
Updated January 2026. This page includes an embedded PDF and a structured HTML version for quick scanning.
Summary
Scientist at Meta AI Research with a PhD in Electrical and Electronic Engineering from Imperial College London. Focused on diffusion models, visual localization, and privacy-preserving perception systems.
Experience
AI Research Scientist
- Image, video, and audio diffusion models to optimize ad performance across Meta platforms.
- Data curation pipelines from pretraining (millions of assets) to post-training (thousands of high-quality samples).
- Evaluation guidelines for generation quality, deployed at scale with annotators.
- Boosted advertiser adoption by 40% on a $1M+ daily revenue stream via image generation models.
Research Engineer
- Controllable video diffusion models for AI dubbing on avatars.
- End-to-end R&D and deployment of AvatarBuilder in Synthesia STUDIO.
- System design, engineering, and deployment for AI video generation at scale.
Research Intern
- Led a research agenda in SceneScript for multimodal text-to-3D understanding.
- Built an internal API and demo for a scene generation pipeline.
Research Intern
- Led CVPR 2022 research on privacy-preserving ML using adversarial learning.
- Produced research code compatible with Meta infrastructure.
Teaching Assistant
- Courses: Machine Learning (Year 3), Pattern Recognition (Year 4), Deep Learning (Year 4).
- Marking, feedback, and tutorials.
Visiting Student
- Job-shadowed Dr. Vassileios Balntas and team.
- Assisted integration of image retrieval modules into localization pipeline.
Summer Intern
- Managed a 7-person team to resolve a supply chain disruption (~GBP 120K impact).
- Analysed 650k+ entries to assess replacement risks and costs.
Education
PhD, Electrical and Electronic Engineering
- Research topic: Visual localization for AR/VR using deep learning and geometry.
- Supervisor: Prof. Krystian Mikolajczyk, Co-supervisor: Dr. Vassileios Balntas.
- Scholarship: Departmental Scholarship for Overseas PhD Candidates.
MEng, Aeronautical Engineering
- Thesis: Prediction Model for Gravity Currents. Grade: 80/100.
- Classification: First Class Honours (1:1), Average Score 78%.
- Awards: Dean's List 2015 & 2016, Aeronautics Scholars.
Publication Highlights
- NinjaDesc: Content-Concealing Visual Descriptors via Adversarial Learning (CVPR 2022).
- OoD-Pose: Camera Pose Regression from Out-of-Distribution Synthetic Views (3DV 2022).
- SOLAR: Second-Order Loss and Attention for Image Retrieval (ECCV 2020).
- HyNet: Learning Local Descriptor with Hybrid Similarity Measure and Triplet Loss (NeurIPS 2020).
- D2D: Keypoint Extraction with Describe to Detect Approach (ACCV 2020).
Service & Leadership
Reviewer
- Outstanding Reviewer.
Reviewer
- Outstanding Reviewer Award (top 8% in 2021).
Reviewer
- Conference reviewer.
Invited Speaker
- Lead presenter for a top entry in Local Features and Beyond.
Leader / Arranger / Singer
- Founded by students and music enthusiasts from Hong Kong.
- Led concerts with hundreds of attendees; bass singer and song arranger.
Associate
- Hosted and prepared materials for weekly case-study sessions.
Skills & Interests
Computing
- High: Python, PyTorch
- Medium: Docker, k8s / Kubeflow
- Basic: JavaScript, C++
Languages
- Native/Fluent: English, Cantonese, Mandarin
- Conversational: Korean, German (B1+)
- Basic: Japanese
Interests
- Singing, travelling, lifting weights, tennis, Formula 1, Age of Empires II