Curriculum Vitae

Full CV (PDF) | Last updated: February 2nd, 2022.

Professional Experience

Aug 2019 – present
Delft University of Technology, PhD Candidate.

Working in the Web Information Systems group (led by Prof. Geert-Jan Houben) and in close cooperation with IBM. Next to research work, I review papers, co-organize workshops, assist in teaching, and supervise students at TU Delft.

Apr 2019 – present
IBM, Guest Researcher.

Active member of the IBM Benelux Data & AI Ethics Community, collaborating on research projects concerning fair and trustworthy AI, and co-supervising interns. During my time with IBM, I did two research internships:

  • Feb 2022 – Apr 2019: Research Intern at the IBM Thomas J. Watson Research Center in Yorktown Heights, NY, USA.
  • Apr 2019 – Jun 2019: Research Intern at the IBM Benelux Center for Advanced Studies in Amsterdam, the Netherlands. Conducted a research project in cooperation with a large Dutch bank; investigating fairness in artificial intelligence systems that aim to help consumers make better financial decisions and the impact of perceived unfairness on consumer trust.

Jan 2017 – Mar 2019
JASP, Research Assistant.

Responsible for marketing and communication, contributing educational material, and co-developing the Machine Learning Module.


2019 – 2023
Doctor of Philosophy (PhD), Computer Science.
Delft University of Technology, The Netherlands

Topic: “Understanding How Algorithmic and Cognitive Biases in Web Search Affect User Attitudes on Debated Topics” under supervision of Prof. Nava Tintarev (TU Delft), Prof. Alessandro Bozzon (TU Delft), and Benjamin Timmermans (IBM).

2018 – 2019
Master of Science (MSc), Behavioural Data Science, cum laude.
University of Amsterdam, The Netherlands

Thesis: “An Introduction to Supervised Machine Learning for Psychology with Practical Applications in JASP” under supervision of Don van den Bergh and Prof. Eric-Jan Wagenmakers (Grade 8.5).

2015 – 2018
Bachelor of Science (BSc), Psychological Methods, with distinction.
University of Amsterdam, The Netherlands

Thesis: “Examining the Accuracy of Personality Descriptions: A Bayesian Reanalysis and Replication Study” under supervision of Alexandra Sarafoglou and Dr. Donald Robinaugh (Grade 9.5).


2020, 2021
Human-Computer Interaction (Computer Science Bachelor’s course), Teaching Assistant.
Delft University of Technology

Led practical sessions as a supplement to lectures and supervised students in their group projects.

2019 – 2021
Seminar Web Information Systems (Computer Science Master’s course), Teaching Assistant.
Delft University of Technology

Supervised groups of students in writing literature reviews about topics related to machine learning, natural language processing (NLP), and user behaviour.

Jun 2018
An Introduction to JASP and Bayesian Statistics (Workshop), Lecturer.
University of São Paulo, Brazil

Gave an introductory workshop on Bayesian statistics and how to apply Bayesian methods in the open-source statistical software JASP.


2021 – 2022
Ye Yuan, Research Assistant.
Delft University of Technology, The Netherlands

Creating an Environment to Study User Behavior in the Context of Web Search on Debated Topics.

2021 – 2022
René Freichel, Research Internship Project.
IBM Benelux, Amsterdam, The Netherlands

Fairness Considerations in the Assessment of Work Engagement.

2020 – 2022
Eva Noritsyna, Bachelor Honours Project, Computer Science.
Delft University of Technology, The Netherlands

Developing a web-based demo for metrics that measure viewpoint-related ranking bias in search results.

2019 – 2020
Jody Liu, Master’s thesis, Computer Science.
Delft University of Technology, The Netherlands

Thesis: Perspective Discovery in Controversial Debates: An Exploration of Unsupervised Topic Models.

Organizational Activities

Third symposium on Biases in Human Computation and Crowdsourcing (BHCC), 10 – 12 November 2021.
Delft, The Netherlands (Online)

Co-organising BHCC 2021 as social chair; responsible for panel discussions and social events.

First Yearly Behavioural Data Science (BDS) Meetup, 9 April 2021.
Amsterdam, The Netherlands (Online)

Co-organising the first ever yearly meetup of the Behavioural Data Science Master track at the University of Amsterdam. This event aims to be a space for current students, alumni, lecturers, and others involved in Behavioural Data Science to come together and share ideas.

Awards and Grants

Best Paper Award, with Oana Inel, Nava Tintarev, Christian Baden, and Benjamin Timmermans.

Awarded for our paper “Comprehensive Viewpoint Representations for a Deeper Understanding of User Interactions With Debated Topics”, presented at the seventh ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR).

Amazon Best Paper Award, with Alisa Rieger, Oana Inel, Ujwal Gadiraju, and Nava Tintarev.

Awarded for our paper “A Checklist to Combat Cognitive Biases in Crowdsourcing”, presented at the ninth AAAI Conference on Human Computation and Crowdsourcing (HCOMP).

Douglas Engelbart Best Paper Award, €1,000 with Alisa Rieger, Mariët Theune, and Nava Tintarev.

Awarded for our paper “This Item Might Reinforce Your Opinion: Obfuscation and Labeling of Search Results to Mitigate Confirmation Bias”, presented at the 32nd ACM Conference on Hypertext and Social Media (HT).

Delft Design for Values (DDfV) Open Subsidy, €8,000 with Alisa Rieger, Nava Tintarev, and Alessandro Bozzon.

Awarded for our proposal “Creating an Environment to Study User Behavior in the Context of Web Search on Debated Topics” to create an online study environment that can be used to study algorithmic and cognitive biases in web search.

Professional Service

Program committee member at The Web Conference, SIGIR, ICWE, CHI, and CHIIR. Reviewer for Frontiers in Artificial Intelligence.
Program committee member at the BIAS workshop (ECMLPKDD) and BHCC.
Program committee member at IUI.


Many Analysts Project.

Participating in a large-scale many analysts project to study the effect of religiosity on well-being.

Data Versus Corona.

Participating in a large non-profit collaboration of scientists in The Netherlands for behavioural research related to COVID-19. Specifically, investigating which factors are most relevant in predicting desirable behaviour (e.g., social distancing) in people.

Personality Assessment by AIME.

Building a new functionality for artificial intelligence robot AIME as part of a hackathon organised by Deloitte. Based on a one-minute long conver- sation, AIME would assess the users personality and provide a concise summary of it.

2012 – 2016

Subscription-based service that provided its 22000+ users with a free daily summary of all current events in their local nightlife.

2011 – present
HNO Ratgeber.

German-speaking YouTube channel for valid medical advice. Currently features 60+ videos that have been viewed 3.6+ Million times in total.