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
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).
Originally from Vietnam, Bob has lived in Melbourne for more than seven years, where he’s cultivated both his research and his love for good coffee. Outside of work, you’ll likely find him making a pour-over with precision or swimming laps to reset. He thrives in interdisciplinary teams and enjoys bringing fresh, human-centered ideas into technical domains.