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Tag Archives: inference
Postdoctoral Research Fellow positions available in our team (recruitment now closed)
We are looking for new members to join a Wellcome-funded team of cardiac electrophysiology modellers, to develop mathematical models of ion channel currents and cardiac cells for assessing the safety of new pharmaceutical drugs. Continue reading
Our new review on fitting cardiac models
A reasonably short post to let you know about our recently published paper in WIREs Systems Biology and Medicine on parameter fitting in cardiac ion channel and action potential models with David Christini. There is an accessible introductory news article … Continue reading
Job Available: Statistical inference for mechanistic models
N.B. Applications for this position are now closed. We are offering a 3 year position as a research fellow in statistical inference for mechanistic models. This is offered at either Postdoc or Senior postdoc level (equivalent grade to Assistant Professor) … Continue reading
Posted in Action Potential Models, Drug action, Experimental Design, Ion Channel Models, Model Development, Numerics, Stats and Inference
Tagged Bayesian Inference, calibration, identifiability, inference, inverse problem, job, jobs, model complexity, model construction, model discrepancy, model selection, parameter fitting, validation
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Numerical errors from ODE solvers can mess up optimisation and inference very easily
(Subtitle: “when you’ve got a lot of data points!”) This post is for people interested in doing optimisation or inference with Differential Equation (DE) models. If you are a statistician, you might be used to treating model simulators as black … Continue reading
Short and rich voltage-clamp protocols
This is a quick post to tell you all about Kylie’s new paper on sinusoidal-wave based voltage clamp protocols that has been published in the Journal of Physiology, and there’s an associated commentary from Ele Grandi. In the paper, some … Continue reading
Posted in Experimental Design, Future developments, Ion Channel Models, Model Development, Stats and Inference
Tagged Bayesian Inference, Cardiac electrophysiology, hERG, identifiability, IKr, inference, inverse problem, ion channel, model, model construction, parameter fitting, parameterisation, validation
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Uncertainty quantification for ion channel screening and risk prediction
This post accompanies our new paper in Wellcome Open Research. Regular readers of this blog will know that I worry about uncertainty in the numbers we are using to model drug action on electrophysiology quite a lot – see our … Continue reading
Model Complexity
We’ve been thinking about how to parameterise/train/calibrate models, and also how to select an appropriate model to begin with. This raises all sorts of interesting questions on the details, but this post is just about setting out a big overview … Continue reading
Job Advert
A quick shameless plug for a job we are advertising. This is a 3 year postdoctoral position to work with me in the Computational Biology Group in the Department of Computer Science, University of Oxford. It would best suit someone … Continue reading
Posted in Future developments
Tagged inference, inverse problem, job, model comparison, model construction, parameter fitting, uncertainty
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