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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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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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