Available for collaborations

Hi, I'm Gabriele Dominici

PhD Student in Interpretable AI & Entrepreneur.
Building the bridge between rigorous research and real-world impact.

USI Lugano Cambridge Alum Founder
Gabriele Dominici
🧠
3x
NeurIPS
🦁
2x
ICLR
🤖
1x
ICML

Latest Highlights

NeurIPS 2026

3x Papers Accepted

Work on Federated Concept-Based Models accepted at main conference. Research on Causal Chain of Thought and Distributed Subliminal Learning accepted at workshops.

KDD 2026

Paper Accepted

Work on Neuron-Anchored Rule Extraction for LLMs accepted.

FSE 2026

Paper Accepted

Work on Mitigating Prompt-Induced Cognitive Biases in AI for Software Engineering accepted.

NeurIPS 2025

Papers Accepted

Work on Learning to Defer on Concept Bottleneck Models accepted at main conference. Research on Faithfulness in LLMs accepted to Evaluating LLM Workshop.

ICML 2025

Paper Accepted

Work on Reducing Leakage in Concept Bottleneck Models accepted.

2025

Top 10 CS Student in Italy

Recognized as one of the top computer science students nationwide.

ICLR 2025

2x Papers Accepted

Research on Causal Concept Graph Models and Counterfactual Bottleneck Models accepted.

2025

InfinityGen Exist

Founded InfinityGen, a startup to revolutionize the image process in the surface industry.

NeurIPS 2024

Papers Accepted

Work on Federated Behavioural Planes accepted for publication. Work on Human and LLM alignment in judging explanations accepted at GenAI x Health Workshop

2023

Cambridge Highest Honors

Graduated with Distinction from the University of Cambridge (MPhil Advanced CS).

Selected Publications

* Equal Contribution Sorted by Date

Education & Research

PhD in Interpretable AI

2023 - Exp. 2027

Università della Svizzera Italiana

Advisors: Prof. Marc Langheinrich, Dr. Martin Gjoreski, Dr. Pietro Barbiero. Focus on AI Safety and Concept-based interpretability.

Visiting Researcher

Mar 2026

University of Oxford

Research visit at the TSG Lab, hosted by Dr. Fazl Barez. Worked on automated interpretability, building methods that use AI to explain the inner workings of other AI models at scale.

Research Assistant (SGI)

2023

MIT (Massachusetts Institute of Technology)

Selected as 1 of 30 participants. Developed DC3DO, a 3D shape classifier using Diffusion Models.

MPhil in Advanced CS

2022 - 2023

University of Cambridge

Grade: Distinction (Highest Honors). Advisors: Prof. Pietro Liò, Dr. Nikola Simidjievski.

B.S. in IoT, Big Data & Web

2018 - 2021

Università degli Studi di Udine

Grade: 110/110 Cum Laude. Best student of the year. Completed the degree in two years instead of three.

Industry & Ventures

CEO & Co-Founder

2024 - Present

InfinityGen

Revolutionizing image acquisition for materials industries (ceramics/textiles) using Generative AI. Developed infinite, non-repetitive pattern generation and upscaling pipelines.

Research Scientist Intern

Jun - Oct 2026

Meta

Core Ads Quality team. Developed a world model of user behaviour, learning to simulate how users interact with content to improve ads quality.

Venture Fellow

2024 - 2025

Creator Fund

Sourcing and evaluating high-potential early-stage startups. Conducting market analysis and due diligence.

ML Engineer

2021 - 2022

Data Reply

Led ML model development for telecom clients using Spark/GCP. Achieved 20% churn reduction.