May 2025 – Present
Associate Data Scientist
OOCL
Building data and AI solutions for business and operational applications.
Data Scientist · Applied AI Engineer
Cliff Lau
I build practical agentic 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 & Climate AI Research
The Chinese University of Hong Kong
Developed and trained a convolutional neural network model for climate phenomenon forecasting using large-scale atmospheric data.
Award: 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-induced aviation hazards using numerical weather prediction data and aircraft observations.
Featured Project
HK Weather Dashboard
AI-Powered Weather Information Platform
A full-stack weather information platform integrating real-time meteorological, aviation and geospatial data with an LLM-powered weather assistant.
- Real-time weather data from the HKO
- 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.
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Autonomous Shipment & Customer Spending Analysis
Evaluated autonomous delivery systems using Multi-Criteria Decision Analysis and optimised order fulfilment using linear optimisation, producing data-driven logistics recommendations.
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E-Commerce Insights & Customer Segmentation
Applied RFM and Customer Lifetime Value modelling to identify high-value customers and support targeted marketing strategies.
Academic Foundations
Foundations in AI and data analytics.
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Image Classification & Captioning
Designed neural networks for image classification and a CNN-RNN generative network for image captioning.
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Social Media Sentiment Analysis
Applied NLP-based text classification to more than 40,000 social media posts for sentiment monitoring.
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 not necessarily the most technically complex—they are the ones that solve the right problem and can be understood and used by people.