Emmanuel Tanumihardja is a multidisciplinary machine learning and VR engineer with eight years of experience building neuroscience-informed AI systems and immersive applications. He has designed and deployed EEG-based models to predict dementia biomarkers, developed bi-directional VR brain-computer interfaces used on clinical patients, and presented VR embodiment research at Society for Neuroscience. His background spans industry and academic research—from AI work at Blackrock Neurotech and the Allen Institute to consumer-facing mobile and AR/VR products—bridging signal processing, scikit-learn pipelines, and real-world deployments. Based in Seattle and completing a master's in computer science at the University of Washington, he combines strong experimental design with practical engineering to translate neural data into actionable tools. An underappreciated thread in his work is a talent for human-centered instrumentation: creating novel tasks and interfaces that make complex neural signals measurable and meaningful.
8 years of coding experience
5 years of employment as a software developer
Master's degree Computer Sciene, Master's degree Computer Sciene at University of Washington
Contributions:7 pushes, 3 comments, 12 issues in 7 months
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