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