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Hi 👋 , I'm Luna!

Cosmic Explorer & Data Dreamer

Who's that girl?

I study physics at the Niels Bohr institute - University of Copenhagen, and work with the Steinhardt research group to understand the galactic evolutionary sequence. Mostly by looking at cosmic dust. I also work on the REPAI cross-disciplinary research project on developing responsible AI.

Previously, I have worked with the Hammer research group on modeling material properties using machine learning. Basically, computationally figuring out how to build stable molecules with specific properties.

In 2018, I won the physical science category in the Danish Young Scientists competition, and qualified for the European championship where I won a special prize by CERN for best particle physics project, and qualified as a finalist at ISEF with my project "Detecting Elementary Particles Using Neural Networks".

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Projects

Building a Pretty Fast Path Tracer in Python from Scratch

We implement the path tracing algorithm in python, and use numba to parallelise and accelerate the code creating a feature-rich yet minimal and fast path tracer.

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Introduction To The Basics Of Neural Networks

In recent years, neural networks have shown great potential across a wide range of industries. In this series, we look at how neural networks work from a theoretical point of view.

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Njoror: Learn by following your curiosity.

Njoror aims to change the way we learn mathematics. It replaces the standardized boring lectures and heavy textbooks with interactive problems tailored specifically for the individual student following their own unique learning path.

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Blog

Programming
Climate Action
AI
Mathematics
AI
Programming
Home Lab
AI
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