CV

Contact Information

Name Ivan Brillo
Professional Title AI Researcher · MSc in AI & Data Engineering · Robotics Honors Student
Email brilloivan2@gmail.com
Website https://ivanbrillo.github.io

Professional Summary

AI researcher working on machine learning for science and healthcare — surrogate modelling and Bayesian optimization, deep learning for physiological signals (ECG, EEG), and explainable AI — with a background in embedded systems.

Experience

  • 2026 - 2026

    Menlo Park, CA, USA

    Visiting Scientist — Vernieri Group
    SLAC National Accelerator Laboratory (Stanford University)

    Developing an agentic AI system to automate the optimization and design of Future Circular Collider (FCC) particle detectors. Supervisor C. Vernieri.

  • 2026 - 2026

    Montréal, Canada

    Visiting Researcher — sciNeurotech Lab (Polytechnique Montréal)
    Mila — Quebec Artificial Intelligence Institute

    Developed CNN surrogates to replace computationally expensive online Gaussian Process updates. Funded by a Mitacs Globalink Research Scholarship. Supervisor M. Bonizzato.

  • 2025 - 2026

    Pisa, Italy

    Student Researcher — MLPI Lab
    Research Center "E. Piaggio"

    Framing R-peak prediction from EEG as a segmentation problem via distance-to-peak estimation, evaluating multi-scale CNNs and autoregressive models with a focus on domain generalization. Supervisor M. Cimino.

  • 2025 - 2026

    Pisa, Italy

    Student Researcher — PERCRO Lab
    Monasterio Foundation

    Cardiac amyloidosis classification from ECGs using Transformers, with interpretability via Grad-CAM and Attention Rollout. Supervisor C.A. Avizzano.

  • 2025 - 2025

    Pisa, Italy

    Student Researcher — NeuroRobotic Touch Lab and TeCIP Institute
    Sant'Anna School of Advanced Studies
    • Explainable classification of tumor-mimicking materials from force/position data. Supervisor C.M. Oddo.
    • Efficient federated learning via dynamic training-precision adjustment. Supervisor E. Paolini.
  • 2024 - 2024

    Padua, Italy

    Computer Engineer — Part Time (24h/week)
    UP caeli via

    Software integration for drones (QGC and ArduPilot) using C++ and Qt/QML (GeoFencing, RTK and RTSP).

  • 2023 - 2024

    Padua, Italy

    Internship — Nuclear Fusion and Plasma Research
    RFX Consortium and CNR

    Investigated autoencoders and VAEs for temporal analysis of plant stress responses after irrigation with plasma-activated water (PAW). Supervisor V. Antoni.

  • 2022 - 2024

    Padua, Italy

    Embedded Software Developer (+10h/week)
    Formula Student Team Project

    Member of a 50-person university racing team, developing embedded systems (ATmega32/64, TI F2837, Arduino) and C control algorithms for power management, torque vectoring, and regenerative braking.

Education

  • 2024 - present

    Pisa, Italy

    Advanced MSc (EQF 8)
    Sant'Anna School of Advanced Studies
    Robotics
    • Awarded 2-Year Merit Full Scholarship (top 2% of applicants).
  • 2024 - 2026

    Pisa, Italy

    MSc
    University of Pisa
    Artificial Intelligence and Data Engineering
    • Thesis: “Development and Evaluation of a Domain-Adversarial Transformer for Subject-Invariant Physiological Signals Analysis”. Supervisor M. Cimino.
  • 2024 - 2024

    Budapest, Hungary

    Seasonal School
    Budapest University of Technology and Economics
    Challenge-based human-inspired computer vision
  • 2021 - 2024

    Padua, Italy

    BSc
    University of Padua
    Computer Engineering
    • DECAMP Course in Applied Web Application Security (Metropolia UAS, Finland).
    • Thesis: “A deep learning approach for the analysis of calcium signal in characterizing the biological response of plants to external stimuli”. Supervisor E. Menegatti.
  • 2016 - 2021

    Este, Italy

    High School Diploma
    Scientific High School G.B. Ferrari
    Applied Sciences

Publications

  • 2026
    AI-Driven Optimization of Detector Design for the FCC-ee
    4th US FCC Meeting, SLAC, Sep. 8–11, 2026

    Presented research on multifidelity Bayesian optimization and differentiable simulation surrogates for efficient design optimization for the proposed FCC-ee at CERN.

  • 2026
    ResCTrans: an Explainable Amyloidosis Classifier using Temporal Transformers from ECG Signals
    Submitted to IEEE Journal of Biomedical and Health Informatics, Jul. 9, 2026

Awards

  • 2026
    Zegna Scholarship
    Zegna

    Scholarship awarded for academic excellence and merit.

  • 2026
    Mitacs Globalink Research Scholarship
    Mitacs

    Scholarship supporting a visiting research stay at Mila.

  • 2024
    "Mille e una Lode" Merit Awards
    University of Padua

    Scholarships awarded to the top 3% of students, received in 2022, 2023, and 2024.

  • 2024
    INPS Scholarships
    Italian National Institute of Social Security

    National scholarships in recognition of academic excellence, received annually 2018–2024.

  • 2021
    National Bronze Medal, Physics Olympiad
    Association for Teaching Physics
  • 2020
    National First Place, Chemistry Olympiad
    Italian Chemistry Society
  • 2019
    National Bronze Medal, EUSO
    European Olympiad of Experimental Science

Memberships

LeadTheFuture — Mentee (Oct. 2025–present): Selective STEM mentorship program, acceptance rate < 15%.
ISSNAF — Mentee (Dec. 2025–present): Selective mentorship for research opportunities in the US.

Skills

Machine Learning: PyTorch, TensorFlow, scikit-learn, Transformers, CNNs, VAEs, Bayesian Optimization, Gaussian Processes, Federated Learning, Explainable AI
Programming: Python, C, C++, Java, MATLAB, Erlang, Dart
Embedded & Robotics: Qt/QML, QGroundControl, ArduPilot, Arduino, ATmega32/64, TI F2837
Data & Tools: MongoDB, Neo4j, MySQL, OpenCV, Spring, Flutter, Firebase

Languages

Italian : Native
English : C1 (TOEFL iBT 104/120)