Summary
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.
10 years of coding experience
3 years of employment as a software developer
Master of Philosophy - MPhil, Informatics, Master of Philosophy - MPhil, Informatics at The University of Edinburgh
Bachelor's Degree, Mathematics, First Class Honour Stream, Bachelor's Degree, Mathematics, First Class Honour Stream at Trinity College, Dublin
English, German, Irish