Simone G
PhD Candidate
City of Edinburgh, Scotland, United Kingdom
Summary
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RockstarSimone G is a PhD candidate in Computational Astrophysics at the University of Edinburgh with five years of hands-on software engineering and research experience. She blends scientific rigor with practical ML engineering, contributing to cross-framework tooling that ensures Array API compatibility. Notably, she implemented elementwise functions like tanh across JAX, NumPy, PyTorch, TensorFlow and MXNet for the ivy project, improving interoperability and test organization. Based in Edinburgh, she focuses on robust backend implementations that bridge research code and production-ready libraries. Her work reflects an unusual combination of astrophysics modelling insight and low-level numerical library expertise.
5 years of coding experience
Github Skills (10)
machine-learning10
api10
python10
integrations10
numpy10
tensorflow9
jax9
pytorch9
deep-learning8
mxnet8
Programming languages (3)
Github contributions (5)
ivy-llc/ivy
Mar 2022 - Jan 2023
Convert Machine Learning Code Between Frameworks
Role in this project:
Backend Developer & ML Engineer
Backend Developer & ML EngineerContributions:185 reviews, 253 commits, 116 PRs in 10 months
Contributions summary:Simone primarily contributed to the implementation of elementwise functions for the Ivy framework, with a focus on ensuring compatibility with the Array API Standard. The user added the hyperbolic tangent, tanh, function implementation across multiple backend frameworks like Jax, Numpy, Pytorch, Tensorflow, and MXNet. These changes involved modifying existing code to adhere to the specifications, ensuring correct data type handling. Additionally, the user moved and reorganized tests for better code structure.
pythontensorflowframework-learningtemplatedata-science
simonetgordon/smartstar_simulation_analysis
Nov 2022 - Nov 2024
Contributions:327 pushes, 1 branch in 2 years
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