cv
Basics
Name | Daniel Johannes van der Weijden |
Label | PhD Candidate Computer Science |
weijden@ifi.uzh.ch | |
Url | daanvdweijden.com |
Education
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2023.09 - Present Zurich
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2021.09 - 2023.08 Utrecht
Master of Science
Utrecht University
Artificial Intelligence
GPA 3.7/4.0
- Honours Student (Graduate Honours of Interdisciplinary Seminars)
- Member of Faculty Council
- Highlighted Courses: Human Centered Machine Learning, Intelligent Agents & Natural Language Generation
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2019.09 - 2021.08 Utrecht
Bachelor of Science
Utrecht University
Artificial Intelligence
GPA: 4.0/4.0, Graduated Cum Laude
- Chair of Political Party VUUR
- Member of Faculty Council
- Highlighted Courses: Logical Complexity, Intelligent systems & Computational Linguistics
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2017.09 - 2021.08 Utrecht
Bachelor of Arts
Utrecht University
Linguistics
GPA 3.8/4.0
- Chair of Linguistics Study Association
- Highlighted Courses: Language and Computation, Semantics and Pragmatics & Experimental Psycholinguistics
Work
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2022.12 - 2023.08 The Hague
Research Intern
TNO
- Conducted research on different implementations of textual data augmentation methods
- Developing own augmentation methods for Dutch by implementing local LLM's
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2022.01 - 2023.08 Utrecht
Research Assistant
Utrecht Data School
- Performed Data Analysis of Twitter interactions on the topic of Datacenters in the Netherlands with, resulting in a published paper.
- Developed a framework and practical implementation for Dutch oversight authorities on how to oversee algorithmic systems, delivered a report and paper.
- Conducted research into the influences of politics on twitter and vice-versa, ongoing research
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2020.09 - 2021.04 Utrecht
Technical Support
Channable
- Provided technical support for a platform for centralising eCommerce products.
- Gave walkthroughs for first time customers to the tool, guiding them through all the steps involved in linking up their accounts.
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2020.01 - 2022.12 Utrecht
Teaching Assistant
Utrecht University
Hosted weekly seminars for several courses, graded theoretical assignments, provided feedback on delivered code. Courses:
- Machine Learning
- Natural and Formal Languages
- Introduction on Logic