Bob La
Melbourne, Victoria, Australia
Research Engineer, PDMS
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Research engineer with a hybrid academic–industry background, specializing in scalable AI and data-centric modeling for complex real-world systems. Proven track record in developing high-fidelity surrogate models, graph-based neural networks, and interpretable optimization frameworks. Experienced in translating research into practical solutions
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Bob La, a research engineer at Autodesk in Melbourne, is finishing (thesis submitted) his PhD at Monash University. He focuses on applying scalable machine learning to complex, real-world systems like transport modeling (his PhD) and physical simulations (with Autodesk).
Currently working on implementing machine learning models (GNN) for Moldflow (injection molding simulation). Used to work on deep learning models for population synthesis. Experience with GIS data, data processing, SageMakers, AWS.
