New Opportunity: Funded PhD Project on Developing methods for model selection in causal health analyses

How can statistical modelling tell us what causes disease? Electronic Health Records (EHR) have transformed medical research, with diverse examples including examining risks of emergency admissions on weekends vs weekdays, and health and psychological outcomes after COVID-19. The strengths of analyses based on EHR data include the very large number of individuals available for analysis and the extremely detailed data available for each individual.

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DataScience@work: British Geological Survey

We’re excited to welcome Dr Kathryn Leeming for our first DataScience@work seminar of the academic year and our first in-person talk for this seminar!

 

First PAI-Link Seminar: Maciek Glowacki, Mauro Camara Escudero (University of Bristol) and Ben Winter (Bangor University)

New opportunity: AstraZeneca to fund Compass PhD project

Novel semi-supervised Bayesian learning to rapidly screen new oligonucleotide drugs for impurities.

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Video: The Data Science behind COVID Modelling

We are excited to share Dr Daniel Lawson’s (Compass CDT Co-Director) latest video where he will tell you about the Data Science behind Bristol’s COVID Modelling.

Mathematics has had a hidden role in predicting how we can best fight COVID-19. How is mathematics used with data science and machine learning? Why is modelling epidemics such a hard problem? How can we do it better next time? What will data science be able to do in the future, and how do you become a part of it?

Student perspectives: Three Days in the life of a Silicon Gorge Start-Up

A post by Mauro Camara Escudero, PhD student on the Compass programme. (more…)

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