Co-authors
5
list available
Resume (English only)
Academic Achievements
- Publications: 'Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo', ICLR 2025 (Oral, <1.8% of papers); 'Fast Controlled Generation from Language Models with Adaptive Weighted Rejection Sampling', CoLM AWRS 2024 (Outstanding Paper Award, <1% of papers). Awards: Outstanding Paper Award.
Research Experience
- Research Intern at Meta AI Research, working with Brenden Lake and Marco Baroni; at Harvard University with Sam Gershman; and at Inria Parietal team with Bertrand Thirion and Gaël Varoquaux.
Education
- PhD: Massachusetts Institute of Technology (MIT), Advisors: Vikash Mansinghka, Josh Tenenbaum, Tim O'Donnell; Studied at École Normale Supérieure Paris-Saclay, École Polytechnique, and Universidade de São Paulo.
Background
- Research Interests: Scaling data science through probabilistic programming. Specialization: Data science, generative models, control of large language models.