Senior Staff Research Scientist at Google DeepMind (Open-Endedness team)
Former Research Scientist at Meta GenAI, where she led the AI Scientist team to accelerate end-to-end AI R&D using AI agents
Founded and led the Tool Use team for Llama 3 at Meta, enabling tool usage (e.g., search, Python, text-to-image, Wolfram Alpha) and zero-shot generalization to new tools
Her LLM agent research underpins widely used Meta products like Meta AI, Data Analyst, AI Studio, and Ads Business Agent, serving hundreds of millions of users
Interned during PhD at DeepMind, Microsoft Research, and Facebook AI Research
Background
Currently a Senior Staff Research Scientist at Google DeepMind in the Open-Endedness team
Honorary Lecturer (Adjunct Professor) at UCL, closely collaborating with the UCL-DARK Lab and advising PhD students
Co-developed and currently co-teaching a new course on Open-Endedness and General Intelligence
Broadly interested in designing ML algorithms that make robust sequential decisions in complex environments while continuously acquiring new skills and knowledge
Long-term goal: develop models that can solve a wide range of new tasks with little or no supervision or training
Deeply committed to ensuring such systems are reliable, trustworthy, and aligned with human intentions
Work draws from reinforcement learning, open-ended learning, self-supervised learning, and NLP
Currently focuses on the intersection of large language models (LLMs) and decision-making/RL—especially augmenting LLMs with planning, reasoning, actions, tool use, and goal-directed behavior, and teaching them via human feedback in an open-ended manner
Also interested in improving generalization and robustness of autonomous agents and large pretrained models