Summary
Long Luu is a Director of Machine Learning with a PhD in Computational Neuroscience and eight years of experience bridging experimental cognitive science and production ML for healthcare and biotech. He transitioned from electrical engineering to psychology to ML, bringing a rare combination of rigorous quantitative modeling, human-subject experimentation, and deep learning expertise applied to clinical problems. At AstraZeneca he led deployment of digital endpoints and transformer-based NLP systems, and worked on wearable-derived mobility and cough-detection algorithms that materially reduce trial size and duration. His work spans Gaussian processes, transfer learning for wearables, generative synthetic medical data, and practical ML for trial risk prediction—skills that reflect both academic rigor and product delivery. Colleagues value his project leadership, cross-disciplinary collaboration, and a practitioner’s sense of ethical responsibility toward AI in healthcare. Based in Frederick, MD, he now scales ML impact from research prototypes to regulated clinical solutions.
8 years of coding experience
13 years of employment as a software developer
Electrical and Electronics Engineering, Electrical and Electronics Engineering at International University - VNU HCMC
Bachelor of Engineering (BE) Electrical Engineering, Bachelor of Engineering (BE) Electrical Engineering at The Catholic University of America
Doctor of Philosophy (PhD) Computational Neuroscience, Doctor of Philosophy (PhD) Computational Neuroscience at University of Pennsylvania
Vietnamese, English