Maximilian Puelma Touzel
Scholar

Maximilian Puelma Touzel

Google Scholar ID: -EHSwJ4AAAAJ
Mila, Universite de Montreal
behavioural modellingmachine learning
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Citations & Impact
All-time
Citations
424
 
H-index
10
 
i10-index
10
 
Publications
20
 
Co-authors
0
 
Contact
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Publications
2 items
$ exttt{BluePrint}$: A Social Media User Dataset for LLM Persona Evaluation and Training
2025
Cited
0
Veracity: An Open-Source AI Fact-Checking System
2025
Cited
0
Resume (English only)
Academic Achievements
  • Social Simulation project awarded an FLI grant
  • Social Simulation project awarded an IVADO exploratory grant
  • Received a Foresight Institute grant to study AI collusion
  • Paper “A Simulation System Towards Solving Societal-Scale Manipulation” accepted to multiple NeurIPS 2024 workshops with oral presentation
  • Social simulation and Veracity app demo papers accepted to IJCAI main conference
  • LLM-based social simulation workshop paper accepted to COLM 2025
  • “Scalable approaches to the theory of many minds” accepted to Agentic Markets Workshop at ICML 2024
  • Carbon tax topic modelling work published in Environmental Data Science
  • Social simulation work presented at NLP for Positive Impact workshop (ACL 2025)
  • Presented at three NeurIPS 2024 workshops: Socially Responsible Language Modelling Research, Safe Generative AI, and Towards Safe & Trustworthy Agents
  • Submitted persona-related work to NeurIPS dataset track
Research Experience
  • Serves as Research Scientist at Mila, leading social simulation projects
  • Participated in IVADO’s Thematic Semester on Autonomous AI Agents, including workshops and bootcamps
  • Presented social simulation work at DeepMind’s Multi-agent Seminar
  • Delivered seminar on social simulation at the Centre for the Study of Democratic Citizenship
  • Panelist at the Information Integrity Lab’s Climate Mis/Disinformation Workshop hosted at CRIM
  • Day Lead for socioeconomic curriculum at ClimateMatch, revamping content with En-ROADS simulator
  • Affiliated with the Complex Data Lab since October 2024
Background
  • Research Scientist at the Applied Machine Learning Research Team, Mila – Quebec AI Institute
  • Founding Member of the AI Institute for Information Integrity
  • Member of the Centre for the Study of Democratic Citizenship
  • Research focuses on inference and decision-making in and on human and machine societies
  • Applications span socio-political, economic, technical, and environmental dilemmas
Co-authors
0 total
Co-authors: 0 (list not available)