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...
Previous Seminars
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...
Advances and Challenges in Machine Learning for healthcare
Health presents one of the most challenging domains of machine learning research. This offers an exciting opportunity for machine learning techniques to impact healthcare in a meaningful way. In this
In a world of Big Data - is small beautiful?
In this Seminar, Corri shares reflections on the last 6 years of experience developing a Digital Health Ecosystem in the North East of Scotland. Using a series of exemplars from work in kidney...
Using statistical emulators in the evaluation and constraint of uncertainty in a global aerosol model
Aerosols, tiny particles in the atmosphere from natural and pollution sources, affect the amount of radiation reflected back into space both directly and by affecting the reflective properties of...
Statistical machine learning methods for spatiotemporal inference and learning
Geocoded, time-stamped event datasets are ubiquitous in public health and public policy more broadly. In this talk I will highlight the statistical machine learning methods that I am developing for...