MATS mentors are advancing the frontiers of AI alignment, transparency, and security
Oly works at the Future of Life Foundation on sourcing and developing ambitious ideas to build a flourishing future, grounded in realistic scenarios for AI and other technological development. Priorities include human collective intelligence uplift, gentle and manageable multiagent transitions, and defensive tech.
Oly previously worked on loss of control risk modelling and evaluation at the UK AI Safety/Security Institute and continues to engage with the OECD, UK FCDO, DSIT, and parliamentarians on AI governance.
He researched (LM) agent oversight and multiagent safety at Oxford and was one of the first beneficiaries of the MATS program in 2021-22. Before his AI safety work, he was a senior data scientist and software engineer.
Jesse is the co-founder and executive director of Timaeus, an AI safety non-profit researching applications of singular learning theory (SLT) to AI safety, particularly for interpretability and alignment. Jesse comes from a background in physics and leads several research projects at Timaeus, in addition to being involved in outreach and operations.
Pierre-Luc St-Charles is a researcher and developer specializing in applied machine learning with over a decade of experience across different non-profit institutes. He has held research roles at the Computer Research Institute of Montréal and senior research roles at Mila, collaborating with industrial partners and multidisciplinary academic teams on innovative projects in natural resources, transportation, digital media, document intelligence, and earth observation. Pierre-Luc earned his PhD in Computer Vision from Polytechnique Montréal in 2018, receiving the departmental Best Thesis Award. In 2024, he joined LawZero, a Mila-incubated organization focused on developing safe AI technologies. He is currently focused on building benchmarks and evaluation methodologies for frontier AI systems.
Marc-Antoine is a Research Scientist at LawZero. His main area of expertise is NLP and applied ML, and he is currently applying this to AI safety projects.
His research areas include interpretability and evaluation.