LEARNING FROM EVERY PATIENT TREATED
The radiotherapy chain has many uncertainties. With the introduction of image guided radiotherapy, setup error and organ motion are no longer limiting treatment accuracy, while biological...
Previous Seminars
DEBATE ON ANONYMISATION
This session was something of a departure from the usual IDSAI seminar format. Much of the data that data scientists work with is about, or concerns, people. Therefore, legal compliance and best...
DEEP AND MULTI-FIDELITY LEARNING WITH GAUSSIAN PROCESSES
I will first talk about Deep Gaussian processes (deep GPs), a nested GP model which can learn rich representations in a data efficient manner, while being able to reason about uncertainty...
A GLOBAL-LOCAL APPROACH FOR DETECTING EQTL HOTSPOTS IN ULTRA-HIGH MULTIPLE RESPONSE REGRESSIONS
We consider how to specify prior distributions for top-level scale parameters in a sparse hierarchical regression model with many predictors and many responses. Our model borrows information across...
Differentiable Programming with Julia
As researchers increasingly push the limits of frameworks like TensorFlow and PyTorch, they are looking to more powerful tools for the next generation of machine learning and statistical models...
HIV Transmission and Opportunities for Health Promotion
This talk will describe the context, motivation and proposed methods for using data about online and offline socialising patterns, sexual partnerships, and HIV status and engagement in care from...