Subhrajit Roy is a Staff Research Scientist at Google DeepMind with nine years of experience building and aligning large language and multi-modal models as a core member of the Gemini/Bard team. He combines deep academic rigor—PhD from Nanyang Technological University and 70+ papers with 1800+ citations—with hands-on product impact at Google and prior leadership of clinical ML projects at IBM. His research has produced state-of-the-art algorithms (e.g., ChronoNet) and wearable seizure-prediction systems that led to patents, high-impact publications, and a Forbes 30 Under 30 recognition. Skilled at translating sensitive healthcare data into deployable AI, he’s co-developed sparse multi-task networks for adverse event prediction and practical de-identification/semantic segmentation pipelines. He serves as an associate editor and frequent reviewer in neuroscientific and AI venues, reflecting a commitment to responsible, reproducible research. Based in Mountain View, he blends neuromorphic and clinical ML roots with current focus on safety and alignment for large-scale generative systems.
9 years of coding experience
14 years of employment as a software developer
Bachelor of Engineering (B.E.) Electrical Electronics and Communications Engineering, Bachelor of Engineering (B.E.) Electrical Electronics and Communications Engineering at Jadavpur University
Doctor of Philosophy (Ph.D.) Electrical and Electronics Engineering, Doctor of Philosophy (Ph.D.) Electrical and Electronics Engineering at Nanyang Technological University Singapore
Contributions:34 commits, 32 pushes, 1 branch in 3 months
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Subhrajit Roy - Staff Research Scientist at Google