Pearse Murphy
Quantitative Finance Analyst
Dublin, Ireland
Summary
👤
Senior🎓
Top SchoolPearse Murphy is a quantitative finance analyst at Bank of America with eight years of experience bridging data science, machine learning, and physics-driven research. He holds a PhD in Solar Physics from Trinity College Dublin and translated advanced signal-processing and TensorFlow-based ML techniques from radio astronomy into robust production workflows that detect and catalogue solar radio emissions. Before banking he applied ML to earth observation and crop-climate adaptation at University of Galway and contributed to EU research projects, showing an unusual blend of domain science and applied modeling. Pearse is comfortable moving models from research into queryable databases and production analytics, and brings proven communication skills from peer-reviewed publications and international conference presentations.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Solar Physics, Doctor of Philosophy - PhD, Solar Physics at Trinity College Dublin
Github Skills (24)
efficientnet8
wcs8
keras-models7
reduction7
mobilenet7
solar7
resnet6
densenet6
segmentation6
insar6
keras-tensorflow6
image-segmentation5
keras5
astropy5
sar4
Programming languages (2)
Github contributions (5)
murphp30/burst_imaging
Apr 2021 - Dec 2021
Contributions:16 commits, 6 pushes in 7 months
murphp30/murphp30.github.io
Mar 2023 - Sep 2024
Contributions:12 pushes, 1 branch in 1 year 6 months
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