MATS mentors are advancing the frontiers of AI alignment, transparency, and security

Jesse Hoogland
Timaeus
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Executive Director
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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.

Focus:
实证研究
Misalignment Science, Interpretability
Pierre-Luc St-Charles
LawZero
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Senior ML Research Scientist
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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.

Focus:
实证研究
AI Control and Monitoring, Capability and Propensity Evaluations, Adversarial Robustness and Safeguards, Agent Foundations
Marc-Antoine Rondeau
LawZero
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Senior Machine Learning Research Scientist
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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.

Focus:
实证研究
AI Control and Monitoring, Capability and Propensity Evaluations, Interpretability, Agent Foundations
Jean-Pierre Falet
LawZero, Université de Montréal
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Machine Learning Research Scientist
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Jean-Pierre is a machine learning research scientist at LawZero, focused on designing model-based AI systems with quantitative safety guarantees. His primary interests are in probabilistic inference in graphical models, and he draws inspiration from his multidisciplinary background in neurology and neuroscience, which informs his understanding of human cognition. Jean-Pierre studied at McGill University, obtaining a medical degree in 2017, completing a neurology residency in 2022, and earning a master's degree in neuroscience in 2023. During his master’s, he developed causal machine learning methods for precision medicine. Concurrently with his work at LawZero, Jean-Pierre is completing a PhD in computer science at Mila and Université de Montréal, supervised by Yoshua Bengio. In addition to contributing to the foundations of guaranteed-safe AI, Jean-Pierre is passionate about translating advances in AI into clinically meaningful, safety-critical applications.

Focus:
实证研究
AI Control and Monitoring, Agent Foundations, Theoretical Alignment and Formal Methods

常见问题解答

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