Summary
Nelson Liu is a Principal Research Scientist in applied machine learning with a decade of experience building end-to-end, production-ready ML pipelines and interactive visualization workbenches. With a PhD in Physics from the University of Toronto, he blends rigorous academic research—including international collaborations and high-impact publications—with pragmatic engineering skills in Python, PyTorch-Lightning, Docker, and cloud storage. He has led projects that turn noisy, multilingual data into actionable insights (e.g., narrative detection with Sentence-BERT, PEGASUS, HDBSCAN, UMAP) and has applied graph embedding techniques to visualize malware-infected memory dumps and large knowledge graphs. Comfortable liaising with domain experts, designers, and stakeholders, Nelson is multilingual (English, French, Cantonese) and routinely translates state-of-the-art research into deployable systems. His background in ultrafast electron diffraction and numerical modeling gives him a rare combination of physical-science intuition and scalable ML product delivery.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at University of Toronto
Bachelor’s Degree Joint Honours in Physics and Chemistry, Bachelor’s Degree Joint Honours in Physics and Chemistry at McGill University
English, French, Chinese