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Experience

  • 2025 -

    Huddersfield, UK

    Lecturer in Electrical and Electronic Engineering
    University of Huddersfield
    Teaching and research in analogue electronics, computing systems, electrical principles, and interdisciplinary engineering.
    • Module Leader for Analogue System Integration
    • Teaching Parallel Computing and Electrical Principles
    • Supervision of undergraduate and postgraduate research projects
    • Reviewer for Advanced Functional Materials and Journal of Materials Chemistry C
  • 2023 - 2025

    Bristol, UK

    Research Associate
    Unconventional Computing Lab, UWE
    • Research in unconventional and soft matter computing
    • Statistical modelling and machine learning for experimental systems
    • Development of bio-inspired and colloidal computational platforms
  • 2020 - 2023

    Sheffield, UK

    Researcher
    Sheffield Hallam University
    • Research on thermoelectric materials and semiconductor systems
    • International collaboration in materials science and engineering
  • 2019 - 2020

    Coimbra, Portugal

    Machine Learning Researcher
    University of Coimbra
    • Industrial load disaggregation using computational intelligence
    • Embedded systems for energy monitoring applications

Education

  • 2020 - 2024

    Sheffield, UK

    PhD
    Sheffield Hallam University
    Materials Science
    • Funded by Marie Skłodowska-Curie COFUND
    • Thesis: Developing High-Efficiency Multiphase Thermoelectric Materials
    • Focus on semiconductor materials and computational modelling
  • 2017 - 2019

    São Carlos, Brazil

    Master's Degree
    University of São Paulo
    Electrical Engineering
    • Research on transient stability analysis of power systems
    • Computational modelling and simulation of electrical networks
  • 2011 - 2016

    São Carlos, Brazil

    Bachelor's Degree
    University of São Paulo
    Electrical Engineering
    • Core areas: electronics, control systems, signal processing

Skills

Machine Learning and AI (Advanced): Machine Learning, Statistical Modelling, Data Analysis, Predictive Modelling, Reservoir Computing
Electronics and Computing (Advanced): Analogue Electronics, Neuromorphic Computing, Physical Reservoir Computing, Circuit Design, Embedded Systems
Programming (Advanced): Python, MATLAB, R, SPICE, LaTeX

Languages

Portuguese : Native speaker
English : Fluent

Interests

Unconventional Computing: Soft Matter Electronics, Neuromorphic Systems, Liquid Cybernetics, Physical AI
Electronics: Analogue IC Design, Signal Processing, Semiconductor Devices

Certificates

  • Six Sigma White Belt - The Council for Six Sigma Certification
  • Associate Member - Royal Society of Chemistry