Christopher Sprague

Member Of Technical Staff at Orbital

United Kingdom
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Summary

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Senior
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Top School
Christopher Sprague is an AI researcher and engineer with 10+ years of experience marrying model-based reliability and learning-driven adaptability across robotics, generative models, and physical sciences. Currently a Member of Technical Staff at Orbital, he has led work on spatiotemporal emulators, geometric latent embeddings for diffusion/flow models, and trustworthy hybrid dynamical systems, including inventing a formal treatment of behavior trees. His background spans autonomous systems (AUV deployments and control theory), molecular generative models for drug discovery, and large-scale software engineering for open-source emulation tools. Comfortable working across US, UK, and EU contexts, he blends first-principles thinking with pragmatic engineering and active engagement in reproducible research and teaching. Notably, he has applied stability and symmetry principles to improve generative modelling and demonstrated practical multi-GPU benchmarking for ligand docking workflows.
code10 years of coding experience
job8 years of employment as a software developer
bookDoctor of Philosophy - PhD Computer Science Artificial Intelligence Robotics, Doctor of Philosophy - PhD Computer Science Artificial Intelligence Robotics at KTH Royal Institute of Technology
bookHigh School Diploma Physics, High School Diploma Physics at Oakton High School
bookMaster of Science (M.S.) Aerospace Engineering Machine Learning, Master of Science (M.S.) Aerospace Engineering Machine Learning at Rensselaer Polytechnic Institute
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Github Skills (91)

toolbox10
automatic-differentiation10
gaussian10
robotics9
stochastic-processes9
jax9
python9
robustness9
gpu9
stable-baselines9
pytorch9
autodiff9
development-tools9
machine-learning9
aerospace9

Programming languages (7)

C++CMakeHTMLSvelteJupyter NotebookPythonMatlab

Github contributions (5)

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cisprague/pybodhi

Jun 2018 - Feb 2019

Contributions:19 commits, 17 pushes, 1 branch in 7 months
cisprague/Astro.IQ

Jan 2017 - May 2017

Machine Learning + Spacecraft Trajectory Optimisation
Contributions:1 release, 74 commits, 72 pushes in 3 months
optimizationreinforcement-learningmachine-learningtrajectoryspacecraft
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Christopher Sprague - Member Of Technical Staff at Orbital