Founding team

Associate Professor at the Institute of Trustworthy Embodied AI, Fudan University, and Full-time Mentor at Shanghai Innovation Institute.

Daniel received his M.S. from Tsinghua University and Ph.D. from the University of Melbourne. His research focuses on large language model safety, agent safety, and embodied AI safety, with a broader interest in building trustworthy foundations for increasingly autonomous and capable AI systems.

Fudan · Tsinghua · University of Melbourne

• AI Safety
• Agent Safety
• Embodied AI Safety

Former member of the OpenAI Infrastructure team, working on infrastructure for frontier AI systems.

Mark studied at UCLA and Stanford University and received his Ph.D. from the University of Melbourne. His work spans large-scale AI infrastructure and the systems required to build and operate increasingly capable AI.

OpenAI · Stanford · UCLA · University of Melbourne

• AI Infrastructure
• Large-Scale Systems
• Frontier AI

Former member of ByteDance's Foundation Model team, where she worked on infrastructure for pre-training data and AI agents.

Rena received her Ph.D. from the University of Melbourne. Her expertise lies in building large-scale data and agent infrastructure that enables frontier models to learn, explore, and continuously improve.

ByteDance · University of Melbourne

• Pre-training Data
• Agent Infrastructure
• Foundation Models