Jack Geary

PHD Student at The University of Edinburgh

City of Edinburgh, Scotland, United Kingdom
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Summary

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Senior
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Top School
Jack Geary is a PhD student and experienced data scientist with a decade of hands-on experience applying machine learning and probabilistic decision-making to real-world problems. Based in Edinburgh, he researches graph neural networks for fraud detection while previously building entity resolution, name normalization, and testing tooling for a Machine-Learning product at Ripjar. His academic work in interactive decision-making for autonomous driving produced novel risk- and reward-formulations that blend game-theoretic thinking with practical planning. Comfortable shipping production backend features with PySpark, Pandas and MongoDB, he pairs rigorous mathematical training (Trinity College Dublin, first-class honours) with a habit of running reading groups to keep teams current on cutting-edge research. Jack is driven, detail-oriented, and able to translate research advances into deployed systems.
code10 years of coding experience
job3 years of employment as a software developer
bookMaster of Philosophy - MPhil, Informatics, Master of Philosophy - MPhil, Informatics at The University of Edinburgh
bookBachelor's Degree, Mathematics, First Class Honour Stream, Bachelor's Degree, Mathematics, First Class Honour Stream at Trinity College, Dublin
languagesEnglish, German, Irish
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Github Skills (9)

biometrics7
face-recognition5
fairness-ml4
data-science2
autonomous-driving2
decision-making2
data-collection2
machine-learning2
experiment2

Programming languages (2)

C++Python

Github contributions (5)

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Justme21/Game-Theory-Driving

Jul 2019 - Feb 2021

Contributions:18 commits, 16 pushes, 2 branches in 1 year 7 months
Justme21/Driving-Simulator

Jan 2018 - Feb 2021

Contributions:89 pushes, 1 branch in 3 years 1 month
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