Summary
Albert Chung is a Machine Learning Engineer with a decade of experience applying mathematics and deep learning to biomedical and imaging problems, currently scaling ML pipelines at AbbVie to improve medical image analysis for diagnosis and drug development. He began as a data analytics consultant after studying MMath Mathematics at the University of Warwick, then transitioned into deep learning roles where he built end-to-end segmentation tools, cloud infrastructure, and research-accelerating tooling for biologists. His work spans model development, R&D, and production operations—ranging from virtual screening pipelines that score millions of molecules to RAG systems that boosted biological QA accuracy and cloud-deployed Cardiac MRI pipelines. Comfortable across Python, PyTorch/TensorFlow, cloud platforms and Rust, he uniquely bridges theoretical rigour with pragmatic engineering to push lab-scale ML into robust, high-throughput production systems.
10 years of coding experience
9 years of employment as a software developer
Victoria College Jersey
Microsoft Professional Certificate for Data Science Data Science, Microsoft Professional Certificate for Data Science Data Science at edX
Artificial Intelligence Nanodegree Artificial Intelligence, Artificial Intelligence Nanodegree Artificial Intelligence at Udacity
MMath Mathematics, MMath Mathematics at University of Warwick
English