Priya Goyal
AI Research & Engineering Leader | Agentic Systems, Evaluation & Synthetic Data | Building Learning Loop for AI Agents
LinkedIn, ex-Google Deepmind, Founding MTS DatologyAI, FAIR (Meta MSL)
Google Scholar (>70K citations)
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My career has been focused on building increasingly capable learning systems. I started with large-scale representation learning at FAIR, moved into multimodal foundation models at Google DeepMind, then worked on data quality and evaluation at DatologyAI. Today I'm building agentic systems and, more importantly, the evaluation and data foundations that allows those agents to improve systematically. My current focus is essentially the learning loop for agents — how you generate tasks and data, measure behavior, identify failures, produce rewards, and use that feedback to make the system better.
My current research interests include agentic evaluations, synthetic data generation, data quality / curation, large scale ML.
