Andrew Warrington
AI Research Scientist at GE HealthCare
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolAndrew Warrington is an AI research scientist and former Stanford postdoc with nine years of experience at the intersection of machine learning, Bayesian statistics, and neuroscience. He has led and mentored projects spanning Monte Carlo methods, probabilistic and mechanistic modeling, and deep reinforcement learning, with publications at NeurIPS, ICML, ICLR and AISTATS. Comfortable with modern Python ML stacks (PyTorch, JAX, NumPy, scikit-learn), he applies rigorous probabilistic thinking to time-series, sequence modeling and connectomics problems, including work on C. elegans. Now at GE HealthCare, he combines academic depth with industry impact, bringing a pragmatic, team-oriented approach informed by a background in biomedical engineering from Oxford. Outside research he’s an avid rugby player and tea drinker, a small but telling sign of his competitive, steady temperament.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at University of Oxford
Github Skills (56)
kalman-filter10
keras10
data-versioning10
state-space10
hyperparameter-tuning10
reinforcement-learning9
visualization9
pytorch9
machine-learning9
dynamical-systems9
ai9
api9
deep-learning9
hyperparameter-optimization9
collaboration9
Programming languages (3)
Github contributions (5)
andrewwarrington/vesicle-cnn-2
Oct 2017 - Apr 2018
Contributions:54 pushes, 2 branches in 6 months
andrewwarrington/Continuous-Recurrent-Units
Sep 2022 - Feb 2023
Adding a validation set.
Contributions:32 pushes in 5 months
javascriptvalidatorvalidation
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