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Multimodal reasoningOptimisationPost-trainingResearch

Advisor

Richard Zhang, PhD

Scientific Advisor

Founding Researcher, Elorian AI · ex-Google DeepMind · PhD, UC Berkeley

Multimodal reasoning, model optimisation and ML research.

Richard Zhang advises Gargantua on machine-learning research and methods. He is a Founding Researcher at Elorian AI, working on multimodal reasoning and models that reason directly over visual information.

Previously, Richard was a Staff Research Scientist on the Gemini team at Google DeepMind. His work covered language-model post-training, reward modelling, and optimisation. He also co-created OSS Vizier, an open-source system for tuning hyperparameters and optimising black-box objectives.

His research connects optimisation theory with the practical challenges of developing large-scale AI systems, providing relevant depth for Gargantua’s multimodal data and evaluation work. Richard holds a PhD in Applied Mathematics and Computer Science from UC Berkeley and completed his undergraduate studies at Princeton University.

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