Joran Van Apeldoorn
Research Scientist
Amsterdam, North Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolJoran Van Apeldoorn is a research scientist with 11 years of experience at the intersection of mathematics, theoretical computer science and the societal impacts of technology. Trained in math, CS and physics with an MSc from King’s College London, he did PhD work on quantum algorithms for convex optimization and won best student paper at ICALP 2019. In recent years he translated technical depth into policy-relevant research on AI systems, data privacy and platform harms at Bits of Freedom and IViR, investigating everything from biased proctoring software to privacy risks in health and government apps. He combines hands-on engineering—contributing type-safe features to the popular asynchronous Python MongoDB ODM Beanie—with scholarly work on ELSA of quantum tech, making him fluent across code, theory and regulatory processes. Based in Amsterdam, he’s comfortable moving between rigorous algorithmic research and pragmatic, evidence-driven policy engagement.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Science (BSc), Computer Science, Bachelor of Science (BSc), Computer Science at University of AmsterdamMaster of Science (MSc), Mathematics, Master of Science (MSc), Mathematics at King's College London
English, Dutch
Github Skills (12)
asynchronous10
pydantic10
odm10
mongodb10
python10
moto10
async10
mongodb-database10
pymongo10
asyncio10
indexing9
testing8
Programming languages (12)
Github contributions (5)
BeanieODM/beanie
Apr 2021 - Jun 2021
Asynchronous Python ODM for MongoDB
Role in this project:
Back-end Developer
Back-end DeveloperContributions:35 commits, 10 PRs, 17 comments in 2 months
Contributions summary:Joran primarily contributed to the `beanieodm/beanie` repository by adding and modifying features related to the ODM functionality. This involved implementing an `Indexed` type wrapper, adding an `index_type` argument, and incorporating a `save` method for document persistence. Their work also included fixing typos and ensuring type safety, enhancing the overall stability and usability of the asynchronous Python ODM for MongoDB.
pythonasynchronousasynciomongopydantic
jorants/quantis
Jun 2016 - Oct 2019
Demo about randomness
Contributions:1 PR, 5 pushes, 1 branch in 3 years 3 months
reactrandomness
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