Experience

Ongoing¶

Working Experience¶

Period	Role	Organisation
2019 – now	Senior Scientist Integrator (full-time)	TNO
2018 – 2019	Consultant / Engineer (full-time)	Altran Netherlands B.V.
2014 – 2018	IT Servicedesk (part-time)	Vrije Universiteit Amsterdam

Senior Scientist Integrator¶

Within TNO, I focus on the development of innovative solutions in two domains. Specifically, (automated) vulnerability research and software security testing (including secure software development), and privacy enhancing technologies.

Portfolio Manager¶

As of January 2025, I hold the position of interim portfolio manager for the portfolio on cybersecure products and systems.

Lead Scientist¶

In September 2023 a seed Early Research Programme (ERP) titled Cyber-secure Systems by Design was initiated. As of October first 2024 it was decided to transform the seed into a full ERP.

More info on the concept of early research programmes is found in the quote on the right.

The ambition of the programme is to transform product and system development by integrating cybersecurity at every stage of the process. Thereby ensuring secure, reliable and resilient cyber-physical systems. This in turn enables the design of inherent secure systems that are equipped to deal with the changing threat landscape essentially enabling the digital transition to advance further for those systems that increasingly become more complex, dynamic and exposed.

From the initial proposal for the seed phase through receiving funding for the full ERP (1 mln a year for 4 years) to date I fulfilled the role of lead scientist.

Coding Guild Core Team¶

A multidisciplinary push to improve coding practices and DevOps. The Coding Guild is the central entity at TNO regarding software development.
Responsibilities include:

• coordination with all management layers within TNO (top-down), and
• guiding the development of the knowledge base (bottom-up).

Knowledge Lead¶

I act as the knowledge lead of the Software and System Security (formally Vulnerability Research) expertise group within TNO.

Our research is centred around three key areas of software and system security (Software Security Testing, Secure Products, and Vulnerability Research), with a strong emphasis on developing supportive tools and technologies. While each area has its unique focus, there is considerable overlap in the methods and technologies we utilise, underscoring the integrated nature of our work.

Responsibilities include:

• strategy and vision development (both short- and long-term),
• responsibility for knowledge roadmap,
• technical lead,
• strong involvement in acquisition, and
• communication and stakeholder management (ranging from internal to external and from academia to industry).

PET Lab Coordinator / Ambassador¶

In January 2020, I founded the TNO PET Lab (formerly known as TNO MPC Lab) and since then coordinated it. The TNO PET Lab is a cross-project initiative initiated to improve the overall quality, generality, and reusability in the development of Privacy Enhancing Technologies (PETs) solutions developed in the numerous (past, ongoing, and future) TNO projects that involve PETs. The lab was established by me.
Landing page, GitHub.

As of January 2025, I transferred my coordination responsibilities and act as an ambassador now.

Consultant / Engineer (Altran)¶

Part of the Scientific Computing team, a subgroup of the Applied Modelling unit.

Education¶

Period	Degree	Institute
2015 – 2018	Master of Science (MSc), Mathematics	Vrije Universiteit Amsterdam1
2011 – 2015	Bachelor of Science (BSc), Mathematics	Vrije Universiteit Amsterdam
2005 – 2011	Bilingual atheneum	Stedelijk College Eindhoven2

Master of Science¶

Mathematics, track: biomedical.

Abstract

Today, computer simulations are a vital tool in the mathematical analysis of dynamical systems. Simulations allow people to imagine the, often complex, dynamics of (nonlinear) systems. Besides being a great tool for inspiration, simulations can also be used to test and reject hypotheses. Making those numerical computations rigorous truly unleashes the power of numerics.

In this thesis, we consider the validation of numerically computed solutions to differential-algebraic systems in the domain of systems biology. We treat a particular toy model of the qORAC framework, in the form of a semi-explicit differential-algebraic system, to illustrate a computer-assisted validation technique that proves the existence of an exact, and unique solution to the dynamical system, within an explicit range of the numerically computed solution.

Thesis: Computer-assisted validation of solutions to differential-algebraic systems in systems biology
Supervisors: Prof. dr. Jan Bouwe van den Berg and dr. Robert Planqué.
Description: Proving, given a numerical solution to an algebraic-differential system, that a unique and exact solution exists within a certain ball (range) around the numerical solution.

Bachelor of Science¶

Mathematics, track: biomedical.

Certifications¶

CSSLP¶

Certified Secure Software Lifecycle Professional (CSSLP).
Issued August 2024.

ISTQB Certified Tester¶

ISTQB Certified Tester Foundation Level.
Issued August 2018.

International Baccalaureate¶

Near-native / full professional. International Baccalaureate English A2-HL.
Issued January 2011.

Activities and societies¶

Period	Role	Association
2013-2015	Chairman	Study Association STORM3
2011-2018	Various roles and committees	Study Association STORM

Honours & awards¶

Third place - Odyssey Hackathon 2019¶

Odyssey Hackathon 2019 is the third edition of the world’s biggest blockchain & AI hackathon unites a global ecosystem to scale blockchain adoption. 100 selected teams collaborate with corporate and governmental launching partners to solve complex multi-stakeholder challenges. These challenges require mass collaboration between a multitude of enabled entities and individuals to reach breakthrough progress.

Twentieth place - NWERC 2017¶

The Northwestern Europe Regional Contest (NWERC) is a contest in which teams from universities all over the Northwestern part of Europe are served a series of algorithmic problems. The goal of each team is to solve as many problems as possible within the 5 hour time limit. Potential solutions are submitted and corrected by an automated judging system. The team that solves the most problems at the end of the contest qualify for the ICPC World Finals.

Scoreboard, Problem set

Fifth place - BAPC 2017¶

The Benelux Algorithm Programming Contest, or BAPC for short, is a programming contest in which 60 teams of leading universities from The Netherlands, Belgium and Luxembourg compete in solving algorithmic programming problems. The goal of every team is solving as many problems within a certain time and resource limit. These problems have to be programmed out and are then checked by an automatic system for correctness. The Benelux Algorithm Programming Contest, or BAPC for short, is a programming contest in which 60 teams of leading universities from The Netherlands, Belgium and Luxembourg compete in solving algorithmic programming problems. The goal of every team is solving as many problems within a certain time and resource limit. These problems have to be programmed out and are then checked by an automatic system for correctness.

Scoreboard, Problem set

Eleventh place - BAPC 2016¶

The Benelux Algorithm Programming Contest, or BAPC for short, is a programming contest in which 60 teams of leading universities from The Netherlands, Belgium and Luxembourg compete in solving algorithmic programming problems. The goal of every team is solving as many problems within a certain time and resource limit. These problems have to be programmed out and are then checked by an automatic system for correctness. The Benelux Algorithm Programming Contest, or BAPC for short, is a programming contest in which 60 teams of leading universities from The Netherlands, Belgium and Luxembourg compete in solving algorithmic programming problems. The goal of every team is solving as many problems within a certain time and resource limit. These problems have to be programmed out and are then checked by an automatic system for correctness.

Scoreboard, Problem set

Winner - AAPP 2016 & 2017¶

The AAPP is the annual programming competition for students from the VU, formerly known as the BAPC Preliminary. By competing in the AAPP you can qualify for The Benelux Algorithm Programming Contest (BAPC). BAPC is where the institutes from The Netherlands, Belgium and Luxembourg are battling to be the best. The AAPP is the annual programming competition for students from the VU, formerly known as the BAPC Preliminary. By competing in the AAPP you can qualify for The Benelux Algorithm Programming Contest (BAPC). BAPC is where the institutes from The Netherlands, Belgium and Luxembourg are battling to be the best.

Scoreboard 2016, Problem set 2016
Problem set 2017

Third place - Xomnia Datathon 2016¶

The main goal of this datathon was to work on solutions to sustainable fishing.

Ninth place - BAPC 2015¶

The Benelux Algorithm Programming Contest, or BAPC for short, is a programming contest in which 60 teams of leading universities from The Netherlands, Belgium and Luxembourg compete in solving algorithmic programming problems. The goal of every team is solving as many problems within a certain time and resource limit. These problems have to be programmed out and are then checked by an automatic system for correctness.

Scoreboard, Problem set

Second place - Nacht van Eindhoven 2015¶

The ‘Nacht van Eindhoven’ (Night of Eindhoven) is a competition between universities in the field of operations research and statistics. This year, the Nacht van Eindhoven is from Thursday June 5 to Friday June 6. During the nightly contest, 8 teams of 3 master students battle each other over four consultancy issues inspired by our daily work. The student team that solves the 'impossible' tasks best, returns home with eternal glory and a cash prize for the team and for the study union it represents.