Translational research thread
Phenotype fingerprinting
Using clinical sequence models to identify rare, under-recognised, or hard-to-characterise disease patterns.
Clinical AI · EHR representation · research software
Chris Sainsbury
Clinician-researcher working on clinical foundation models, EHR representation learning, translational AI, and research software.
I work across medicine, machine learning, and research infrastructure. This site is a public front page for the main things I am working on: active projects, recent outputs, papers, software, and current directions.
GitHub profile shorthand: data analysis in diabetes · machine learning · sailing.
Research programme
ORCA
Treating electronic health records as a language, with implications for representation, translation, and generation.
Knowledge exploration system
NEXUS
Identifying where scientific ideas, methods, and representations might transfer across fields.
Programme-level research thread
ASCEND research arc
A linked sequence of work spanning ASCENDgpt, FlatASCEND, and ORCA.
Public-facing project
glucose.ai
A literature intelligence and discovery surface for diabetes and AI/ML work.
Research infrastructure
pi / Cog workflows
Tools and workflows for keeping projects, sources, experiments, and synthesis organised in a usable working system.
recent outputs
Papers and scholarly outputs
Causal counterfactual simulation for treatment decisions in multimodal lung disease data
Y Zhu, L Zhang, C Sainsbury, F Dong, J MacLay, DJ Lowe, X Ye
Computers in Biology and Medicine 213, 111807
Exploring the use of AI-generated counterfactual chest X-rays to enhance diagnostic learning in medical education
G Mohr, Y Zhu, X Ye, M Lennon, C MacLellan, J Maclay, DJ Lowe, ...
BMC Medical Education
Sparse Autoencoder Decomposition of Clinical Sequence Model Representations: Feature Complexity, Task Specialisation, and Mortality Prediction
C Sainsbury, F Dong, A Karwath
arXiv preprint arXiv:2605.04072
FlatASCEND: Autoregressive Clinical Sequence Generation with Continuous Time Prediction and Association-Based Pharmacological Testing
C Sainsbury, F Dong, K Andreas
arXiv
Implementation of a diabetes electronic health record with clinical decision support in primary care: A mixed methods study
J Dickson, S Cunningham, C Sainsbury, M Rutter, N Kanumilli, E Pearson, ...
Diabetic Medicine 43, 111-112
areas of work
What connects the portfolio
The portfolio spans academic papers, translational grants, scientific-discovery systems, and software for organising research. The aim is not just to build models, but to make them clinically meaningful and operationally usable.