CV

General Information

Name Daniël Vos
Languages English (fluent), Dutch (native)

Education

  • Aug 2020 - Present
    PhD Machine Learning and Cyber Security
    Delft University of Technology, Delft, The Netherlands
    • Research on machine learning in adversarial / security settings.
    • Enrolled in the research school for Information and Knowledge Systems.
    • Promotors: Dr. S. E. Verwer and Prof. R. L. Lagendijk
  • Sep 2018 - Jul 2020
    MSc. Data Science
    Delft University of Technology, Delft, The Netherlands
    • Specialized in Cyber Security as part of 4TU program.
    • Thesis on adversarially robust decision tree learning.
    • Supervised by Dr. S. E. Verwer.
    • Graduated Cum Laude with grade average: 8.0/10
  • Sep 2017 - Feb 2018
    Minor Computer Science
    Swiss Federal Institute of Technology, Zürich, Switzerland
    • Courses on: machine learning, big data, simulation and programming language design
    • Grade average: 5.2/6
  • Sep 2015 - Jul 2018
    BSc. Computer Science and Engineering
    Delft University of Technology, Delft, The Netherlands
    • Completed the honours programme
    • Graduated Cum Laude with grade average: 8.5/10

Experience

  • Apr 2018 - Jul 2018
    Software Engineering Intern
    ING Group, Amsterdam, The Netherlands
    • Worked in a four person team to build a web application for collaboratively creating and editing diagrams.
    • Main contributions in Polymer 2.0 front-end and software testing.
  • Nov 2017 - May 2018
    Software Engineer / Student Researcher
    Swiss Federal Institute of Technology, Zürich, Switzerland
    • Worked as a software engineer for the Cocoon research project, an effort to improve security for home IoT devices.
    • Developed an IoT node that logs internet traffic, radio spectrum and audio data to be used for analyzing smart device behavior.
  • Sep 2016 - Aug 2017
    Software Engineer
    TU Delft Solar Boat Team, Delft, The Netherlands
    • Designed and built a solar energy powered hydrofoil boat to compete in the Monaco Solar Boat challenge.
    • I worked on the dashboard that controls the boat and I monitored system status during competitions as part of our strategy team.

Invited talks

  • Oct 2021
    Robust Decision Trees Against Adversarial Examples
    University of Antwerp. Invited by Guillermo Perez

Honors and Awards

  • Oct 2021
    CSng Best Cybersecurity Master Thesis Award

Academic Service

  • Reviewing
    • AAAI 2023
    • Springer Machine Learning
  • Supervising
    • Supervised thesis projects of 2 master students

Academic Interests

  • Adversarial attacks on machine learning
  • Decision trees and ensembles
  • Combinatorial optimization (MILP, MaxSAT)
  • Reinforcement learning

Other Interests

  • Sports: Strength training, Rowing, Field hockey
  • Hacking: Organize and compete with the TU Delft CTF Team