May 2025 – Present
Associate Data Scientist
OOCL
Building data and agentic AI solutions for business and operational applications.
Data Scientist · Applied AI Engineer
Cliff Lau
I build practical AI and data solutions across business, operational, and environmental applications.
Experience
Jun 2024 – Oct 2024
Machine Learning Researcher — MSc Dissertation
UK Met Office
Conducted machine learning research in collaboration with the UK Met Office, applying ML to post-process numerical weather prediction outputs and improve low-visibility weather detection.
Apr 2023 – Jun 2023
Research Assistant — Deep Learning for Climate Forecasting
The Chinese University of Hong Kong
Developed and trained a convolutional neural network for climate phenomenon forecasting using large-scale atmospheric data.
Sophie Wai Chee Cheng Research Prize
Jan 2021 – Dec 2021
AI Research Intern — Aviation Weather Forecasting
Hong Kong Observatory
Developed machine learning approaches for forecasting weather-related aviation hazards using numerical weather prediction data and aircraft observations.
Featured Project
HK Weather Dashboard
AI-Powered Weather Information Platform
An AI-powered weather platform bringing together real-time meteorological, aviation, and geospatial information in a single interactive interface.
- Real-time weather data from the Hong Kong Observatory
- AI typhoon-track forecasts from Google DeepMind
- LLM-powered weather assistant for natural-language queries
- Aviation weather data from HKCAD and NOAA Aviation Weather Center
- Interactive weather, forecast, climate, and geospatial visualisations
- Full-stack deployment on AWS
Other Projects
Business Analytics & Decision Modelling
Applying data analytics, optimisation, and customer modelling to support business and operational decision-making.
-
Autonomous Shipment & Customer Spending Analysis
Evaluated autonomous delivery solutions and optimised order fulfilment using multi-criteria decision analysis and linear optimisation, translating analytical results into logistics recommendations.
-
E-Commerce Insights & Customer Segmentation
Analysed customer purchasing behaviour using RFM and Customer Lifetime Value modelling to segment customers and identify high-value groups for targeted marketing.
Academic Foundations
Foundations in machine learning, deep learning, and data analytics.
-
Image Classification & Captioning
Built deep learning models for image classification and automated image captioning using CNN and LSTM architectures.
-
Social Media Sentiment Analysis
Developed an NLP-based text classification model to analyse sentiment across more than 40,000 social media posts.
Education
MSc Data Science and Analytics
University of Leeds
Focus
Machine Learning · Deep Learning · Data Analytics · AI
BSc Earth System Science — Atmospheric Science Stream
The Chinese University of Hong Kong
Focus
Statistical Modelling · Computational Methods · Meteorology · Climate Science · Geology
President, Society of Earth System Science (2019–20)
Term-Time Exchange Programme
Technical University of Denmark
Focus
Data Structures and Algorithms · Energy Science and Technology · Sustainability Solutions
About
I'm a Data Scientist and Applied AI Engineer interested in the intersection of technology, data, and real-world problem-solving.
My background began in atmospheric science, where I learned to work with complex systems, uncertainty, and large-scale environmental data. I later developed a strong foundation in data science and machine learning, and now apply those skills to building practical AI and data solutions.
Beyond technical implementation, I value communication, business understanding and effective execution. I believe the most useful solutions are the ones that solve the right problem and can be understood and used by people.