CV

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Basics

Name Filippo Ferrari
Position PhD Candidate
Email ferrari.filippo@outlook.com
Url https://filippoferrari.github.io
Summary PhD Candidate in Computational Psychiatry

Education

  • 2020 - 2024

    Edinburgh, UK

    PhD
    University of Edinburgh, School of Informatics
    Computational Psychiatry
    • Thesis: Computational Modelling of Behavioural Differences in Anxiety Disorders
  • 2019 - 2020

    Edinburgh, UK

    MSc (Distinction)
    University of Edinburgh, School of Informatics
    Artificial Intelligence
    • Machine Learning and Pattern Recognition
    • Computational Cognitive Neuroscience
    • Deep Learning
    • Advanced Computer Vision
  • 2015 - 2019

    Manchester, UK

    BSc (First Class)
    University of Manchester, School of Computer Science
    Artificial Intelligence with Industrial Experience

Work

  • 2017 - 2019
    Data Scientist
    Innovative Technology Ltd.
    Involved in researching, developing, implementing and shipping novel on-device Machine Learning and Computer Vision algorithms for banknote validators.
    • Data Science
    • Machine Learning
    • Computer Vision
    • Python
    • C/C++

Volunteer

  • 2021 - Present
    Mental Health First Aider
    School of Informatics, University of Edinburgh
    Trained Mental Health First Aider available as a first point of contact for other postgraduate students needing mental health support.

Awards

Publications

Skills

Techniques
Bayesian Modelling
Reinforcement Learning
Online Human Behavioural Experiments
Drift Diffusion Models
Prospect Theory
Data Science
Computer Vision
Languages
Python
R
MATLAB
C/C++
JavaScript
HTML/CSS
LaTeX
Tools
PyMC
Prolific
JsPsych
Numpy
Pandas
PyTorch

Languages

Italian
Native speaker
English
Fluent

Interests

Mental Health
Computational Modelling
Data Science