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Hi there! ✌️

I'm an 🇺🇸🇬🇧🇸🇪 AI researcher who likes to blend the reliability of model-based approaches with the adaptability of machine-learning approaches. My experience spans different aspects of critical robotic systems (planning, control, localisation, engineering) in the aerospace and maritime domains. I'm now leveraging parallels with robotics to improve deep generative modelling (GenAI) in the biological domain for tasks such as molecular docking and generation. I value out-of-the-box thinking and a first-principles approach.

📢 Currently seeking a research scientist position in AI for science.

Expertise 🧐

  • Dynamics-based generative models: flow matching, diffusion models.
  • Hybrid dynamical systems: switched systems, discontinuous dynamical systems, behaviour trees.

Christopher Iliffe Sprague's Projects

act-ai icon act-ai

Robustly controlling spacecraft with artificial intelligence.

astro.iq icon astro.iq

Machine Learning + Spacecraft Trajectory Optimisation

auvrl icon auvrl

Optimally controlling AUVs in the presence of obstacles with reinforcement learning.

cv icon cv

Curriculum Vitae

diffdock icon diffdock

Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking

dubins icon dubins

Dubin's car planning challenge in pure Python.

gpflow icon gpflow

Gaussian processes in TensorFlow

gpt icon gpt

Gaussian Processes for Sequential Data

imperium icon imperium

Optimal Control and Machine Learning for Dynamical Systems

pagmo icon pagmo

A C++ / Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model. State of the art optimization algorithms are included. A common interface is provided to other optimization frameworks/algorithms such as NLOPT, SciPy, SNOPT, IPOPT, GSL

phd icon phd

Course requirements for a PhD in CSC at KTH

pointnetkl icon pointnetkl

PointNetKL: Deep Inference for GICP Covariance Estimation in Bathymetric SLAM

pybodhi icon pybodhi

Behaviour trees in Python made easy!

pykep icon pykep

PyKEP is a scientific library providing basic tools for research in interplanetary trajectory design.

sam_common icon sam_common

Public vehicle definitions for the SAM AUV, for example for simulation

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