Brian Hurley
Machine Learning Engineer - Strategic Data Solutions
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolBrian Hurley is a machine learning engineer with 12 years of experience applying data-driven solutions to people analytics and fraud detection at top tech companies, currently building real-time decision automation at Apple in Austin. He combines a PhD in psychology with deep practical experience in experimental design, Bayesian modeling, and production ML, bringing a human-centered lens to complex data problems. His background includes research-published work on human auditory processing and open-source experiment tools—skills that translate into rigorous pipelines and interpretable models. At Apple he moved from people analytics to strategic fraud defenses, showing versatility across analytics, ML engineering, and real-time systems. Previously he shipped data products and rapid-deployment apps (e.g., a BART crowd-prediction web app) and has collaborated across academia and industry. He’s passionate about building tools that measurably improve outcomes for people while keeping models robust and operational.
12 years of coding experience
16 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Psychology, Doctor of Philosophy (Ph.D.) Psychology at University of California, DavisBachelor’s Degree Psychology, Bachelor’s Degree Psychology at The University of Texas at DallasProgramming languages (2)
Github contributions (5)
bkhurley/bkhurley.github.io
Jun 2017 - May 2022
Personal website
Contributions:6 PRs, 146 pushes, 6 branches in 4 years 11 months
reactnextjs
bkhurley/attmap_data_analysis
Apr 2017 - Oct 2018
Contributions:18 pushes, 2 branches in 1 year 6 months
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