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Blog

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Machine Learning and Side Projects



This is a partial list of my Machine Learning and Data Science projects completed in my free time or for academic courses. Main findings and challenges are highlighted and reported using R Notebooks or IPython Notebooks. My professional projects are not included.

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About me

Education

  • PhD in Machine Learning (CDT in Interactive AI)

    09/2021 - present

    University of Bristol (Bristol, United Kingdom)

    A four-year PhD program in Machine Learning. I am interested in 3D Deep Learning, robotics perception, and physics simulation.

  • Master thesis researching Q-Learning and Deep Reinforcement Learning for Importance Sampling in Physically-based rendering.

    02/2019 - 10/2019

    TU Delft (Delft, The Netherlands)

    Technical University of Eindhoven (Eindhoven, The Netherlands)

    Master thesis researching Q-Learning and Deep Reinforcement Learning for Importance Sampling in Physically-based rendering.
    Supervisor: Prof. Elmar Eisemann - TU Delft
    Supervisor: Prof. Decebal Mocanu - TU Eindhoven

  • EIT Digital Double Degree - MSc in Data Science, Distinction

    09/2017 - 10/2019

    Entry University: Universidad Politecnica de Madrid (Madrid, Spain)

    Exit University: Technical University of Eindhoven (Eindhoven, The Netherlands)

    A two-year Master double degree programme, coordinated by the European Institute of Innovation and Technology (EIT). Major in Data Science, and Minor in Innovation and Entrepreneurship.
    Topics covered:
    • Machine Learning algorithms and Deep Learning (Computer Vision, NLP)
    • Big Data Ecosystem: creation of Big Data application with Spark (Scala), Flink, HBase
    • Advanced statistics with R
    • Innovation and Enterpreneurship, focused on start-ups development.

  • Premaster in Data Science and Business Information Technology

    09/2016–07/2017

    University of Twente

    Enschede, The Netherlands

    Bridge program on Computer Science and Business IT. Among the courses I took, I followed joint courses with Delft University and Standford University.

  • Bachelor of Science in Mechanical Engineering

    09/2011 – 02/2015

    Polytechnic University of Milan

    Milan, Italy

    Thesis Project: "Mechanical design and virtual prototyping for thermal turbomachinery"
    • Cost accounting and decision making, economic criteria for the dimensioning of industrial plants and facilities, layout planning
    • C++ and Matlab programming
    • Operations Research and linear planning for optimization
    • Design methods and CAD Softwares (Autodesk Inventor, SolidWorks, SolidEdge, PTC Creo)

Work

  • Research Intern (Student Researcher)

    09/2024 - present

    Google DeepMind

    London, UK

    I did two different Research Internships at Google DeepMind, focusing on 3D Vision and multi-modal learning.

  • Postgraduate Teaching Assistant

    02/2021 - present

    University of Bristol

    Bristol, United Kingdom

    Teaching Assistant for the units:
    • Introduction to AI, MSc unit, 2022-2023
    • Introduction to AI, BSc unit, 2022-2023
    • Introduction to AI, MSc unit, 2021-2022

  • Machine Learning Research Engineer

    03/2019 - 08/2021

    TNO - Netherlands Organisation for Applied Scientific Research

    Helmond, The Netherlands

    Focus on researching and applying Machine Learning techniques for autonomous driving:
    • Deep Learning for trajectory prediction and decision making
    • (Inverse and Deep) Reinforcement Learning for planning and decision making
    • Bayesian statistics for uncertainty modelling, Explainable AI and Interpretable AI

  • Machine Learning Intern

    03/2018 - 08/2018

    Zinkcloud

    Madrid, Spain

    Developed Deep Learning algorithms for Image detection in aerospace applications (Python, Tensorflow, Keras).

  • Internship as Product manager assistant and Aerospace Engineer

    02/2015 - 04/2015

    Jenoptik GmbH

    Hamburg, Germany

    • Mechanical design and optimization for aerospace systems (drones, Airbus components)
    • Product Management: market analysis for military and civil helicopters, market research and analysis for unmanned aerial veichle

  • Trainee as Mechanical design Engineer

    09/2014 - 01/2015 (3 Months)

    Stilmas

    Milan, Italy

    Computational Fluid Dynamics and turbomachinery optimization

About me

Education

  • PhD in Machine Learning (CDT in Interactive AI)
    09/2021 - present

    TU Delft (Delft, The Netherlands)

    University of Bristol (United Kingdom)

    A four-year PhD program in Machine Learning. I work on 3D Deep Learning, robotics perception, and physics simulation.

    Master thesis: Deep Reinforcement Learning for importance sampling in Physically-based rendering.
    02/2019 - 10/2019

    TU Delft (Delft, The Netherlands)

    Technical University of Eindhoven (Eindhoven, The Netherlands)

    Master thesis researching Q-Learning and Deep Reinforcement Learning for Importance Sampling in Physically-based rendering.
    Supervisor: Prof. Elmar Eisemann - TU Delft
    Supervisor: Prof. Decebal Mocanu - TU Eindhoven

  • EIT Digital Double Degree - MSc in Data Science
    09/2017 - 10/2019

    Entry University: Universidad Politecnica de Madrid (Madrid, Spain)

    Exit University: Technical University of Eindhoven (Eindhoven, The Netherlands)

    A two-year Master double degree programme, coordinated by the European Institute of Innovation and Technology (EIT). Major in Data Science, and Minor in Innovation and Entrepreneurship.
    Topics covered:
    • Machine Learning algorithms and Deep Learning (Computer Vision, NLP)
    • Big Data Ecosystem: creation of Big Data application with Spark (Scala), Flink, HBase
    • Advanced statistics with R
    • Innovation and Enterpreneurship, focused on start-ups development.

  • Premaster in Data Science and Business Information Technology
    09/2016–07/2017

    University of Twente

    Enschede, The Netherlands

    Bridge program on Computer Science and Business IT. Among the courses I took, I followed joint courses with Delft University and Standford University.

  • Bachelor of Science in Mechanical Engineering
    09/2011 – 02/2015

    Polytechnic University of Milan

    Milan, Italy

    Thesis Project: "Mechanical design and virtual prototyping for thermal turbomachinery"
    • Cost accounting and decision making, economic criteria for the dimensioning of industrial plants and facilities, layout planning
    • C++ and Matlab programming
    • Operations Research and linear planning for optimization
    • Design methods and CAD Softwares (Autodesk Inventor, SolidWorks, SolidEdge, PTC Creo)

Work

  • Research Intern (Student Researcher)
    09/2024 - present

    Google DeepMind

    London, United Kingdom

    I did two Research Internships at Google DeepMind, focusing on 3D Vision and multi-modal learning.

  • Postgraduate Teaching Assistant
    02/2021 - present

    University of Bristol

    Bristol, United Kingdom

    Teaching Assistant for the units:
    • Introduction to AI, MSc unit, 2022-2023
    • Introduction to AI, BSc unit, 2022-2023
    • Introduction to AI, MSc unit, 2021-2022

  • Machine Learning Research Engineer
    03/2019 - Present

    TNO - Netherlands Organisation for Applied Scientific Research

    Helmond, The Netherlands

    Focus on researching and applying Machine Learning techniques for autonomous driving:
    • Deep Learning for trajectory prediction and decision making
    • (Inverse and Deep) Reinforcement Learning for planning and decision making
    • Bayesian statistics for uncertainty modelling, Explainable AI and Interpretable AI

  • Machine Learning Intern
    03/2018 - 08/2018

    Zinkcloud

    Madrid, Spain

    Developed Deep Learning algorithms for Image detection in aerospace applications (Python, Tensorflow, Keras).

  • Internship as Aerospace Engineer and Product Management assistant
    02/2015 - 04/2015

    Jenoptik GmbH

    Hamburg, Germany

    • Mechanical design and optimization for aerospace systems (drones, Airbus components)
    • Product Management: market analysis for military and civil helicopters, market research and analysis for unmanned aerial veichle

  • Trainee as Mechanical Design Engineer
    09/2014 - 01/2015

    Stilmas

    Milan, Italy

    Computational Fluid Dynamics and turbomachinery optimization

Contact Me

maurocomi.ai@gmail.com
Mauro Comi | LinkedIn
London, UK
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