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Last updated: August 14, 2026

Basics

Name Tommaso Mencattini
Label MSc Data Science Student & Researcher
Email tommaso.mencattini@epfl.ch
Summary MSc student in Data Science at EPFL with research experience at ISTA, ETH Zürich, and GLADIA. My work focuses on large language models, interpretability, causal inference, and AI safety. First-author papers at ICLR, ICML, and ACL, plus publications at NeurIPS workshops and ECAI. Co-PI of a Coefficient Giving-funded research team on activation steering at Rome AI Safety.

Work

  • 2026.01 - Present

    Rome, Italy

    Co-Principal Investigator
    Rome AI Safety (RAIS)
    Proposer and co-PI, together with Donato Crisostomi, of a 7-person research team funded by Coefficient Giving with $80k.
    • Developing disentangled, composable steering vectors for fine-grained behavioral control via white-box interventions in activation space.
  • 2025.07 - Present

    Vienna, Austria

    Research Intern
    Institute of Science and Technology Austria (ISTA)
    Research on causality and multimodal foundation models within the Locatello Group (PI: Francesco Locatello).
    • Co-first author of an ICLR 2026 Oral (top 1.2%): a framework (theory + library) for unsupervised causal effect discovery in RCTs.
  • 2024.04 - Present

    Rome, Italy

    Research Student
    GLADIA · Sapienza University of Rome
    Research on scalable model merging, interpretability, and ability estimation for large language models (PI: Emanuele Rodolà).
    • Scaled evolutionary model merging of LLMs to consumer GPUs and developed ability-estimation theory via Item Response Theory: 50× faster, 2% of the data, 85% performance retained. Two first-author papers at ICML 2025 and ACL 2025.
    • Co-first author of an ICLR 2026 paper proving injectivity of LLM hidden representations and presenting the first exact inversion algorithm (5M views on the tweeprint).
  • 2023.06 - 2023.08

    Zurich, Switzerland

    Research Student
    ETH Zürich (LRE Lab)
    Applied causal inference to explain and assess LLM performance on math word problems (PI: Mrinmaya Sachan).
    • Worked on applying causal inference techniques to large language models to detect spurious heuristics in reasoning tasks.
    • Ran large-scale experiments on high-performance computing clusters.
  • 2023.01 - 2023.06

    Amsterdam, Netherlands

    Research Assistant
    Vrije Universiteit Amsterdam · KAI Lab
    Mitigated hallucinations in LLMs using knowledge graphs for content planning (PI: Ilaria Tiddi).
    • Designed Text-to-Graph and Graph-to-Text methods for content planning.
    • Trained and evaluated multiple knowledge-graph-integrated LLMs.
  • 2022.07 - 2023.04

    Rome, Italy

    Research Student
    Sapienza University of Rome
    NLP research in e-justice applications using specialized large language models.
    • Developed GPT-2-based writing assistant for legal documents.
    • Publication at ECAI 2023 (CICERO project).
    • Conducted evaluation with legal professionals.
  • 2022.05 - 2022.12

    Amsterdam, Netherlands

    Technology Assistant
    Network Institute VU Amsterdam
    Technical support for interdisciplinary projects in XR, VR, and motion capture.
    • Worked with Unity, C#, iClone, Motive, and Optitrack.
    • Organized and presented at Surf XR-On Tour and Reshaping Work 2022 Conference.

Education

  • 2024.09 - Present

    Lausanne, Switzerland

    Master of Science
    École Polytechnique Fédérale de Lausanne (EPFL)
    Data Science
    • Coursework focused on the Mathematics of data science
  • 2024.06 - 2024.08

    Remote

    Summer School (3 months)
    BlueDot Impact
    AI Safety
    • Studied sparse autoencoder diffing and transfer; work accepted at the UniReps Workshop @ NeurIPS 2024 (blog post track).
  • 2021.09 - 2024.07

    Amsterdam, Netherlands

    Bachelor of Science
    Vrije Universiteit Amsterdam
    Artificial Intelligence (Major) & Mathematics (Minor)
    • Honours Programme (30 credits of advanced coursework, e.g. PDEs)
  • 2018.09 - 2021.09

    Rome, Italy

    Bachelor’s Degree
    Sapienza University of Rome
    Philosophy
    • Focused on formal logic and philosophy of language

Awards

  • 2022.01.01
    KHMW Young Talent Incentive Award
    Royal Holland Society of Sciences and Humanities
    National award presented to the student with the highest GPA in their degree program at a Dutch research university.
  • 2021.01.01
    Intelligent Systems Competition — 1st Place
    Vrije Universiteit Amsterdam
    Ranked 1st out of 270 students by developing an intelligent agent for the card game Schnapsen.

Interests

AI Safety
Interpretability
Sparse Autoencoders
Causal Models
Theoretical ML
Representations
Optimization
Information Theory