Machine Learning

ICML 2021

Congratulations to PhD student Dominic Danks whose paper BasisDeVAE: Interpretable Simultaneous Dimensionality Reduction and Feature-Level Clustering with Derivative-Based Variational Autoencoders. has been accepted for presentation at the International Conference for Machine Learning 2021.

Jul 18, 2021 1 min read Machine Learning, Phd, Student
Roche ML for Antibody Design
Machine Learning Models for the Development of Antibodies
Jul 1, 2021 12:00 AM
Roche ML for Antibody Design
New study in American Journal of Drug Alcohol Abuse

Increasing rates of opioid-related overdose have been identified globally. Treatment for opioid use disorders (OUD) includes medications for opioid use disorder (MOUD) alongside behavioral support. In this study we use statistical analysis and machine learning to show that the Breaking Free Online program may reduce opioid use and improve biopsychosocial functioning in individuals with OUD.
Jan 11, 2021 1 min read Mental Health, Machine Learning
Turing AI Acceleration Fellowship
AI for Cancer
Nov 27, 2020 12:00 AM
Turing AI Acceleration Fellowship
Turing AI Acceleration Fellowship

Christopher Yau has been awarded a 5-year Turing AI Acceleration Fellowship.

The Turing AI Acceleration Fellowships are part of the government’s AI sector deal investment in Turing AI fellowships, recommended by the independent 2017 UK AI Review, whose report ‘Growing the artificial intelligence industry in the UK,’ was co-authored by Reguis Professor of Computer Science at Southampton, Dame Wendy Hall, and Jérôme Pesenti, now Vice President of AI at Facebook.
Nov 27, 2020 1 min read Machine Learning, Digital Health, Cancer
Setting guidelines to report the use of AI in clinical trials

The CONSORT-AI and SPIRIT-AI Steering Groups (including Christopher Yau) have published their guidelines for conducting and reporting on clinical trials for AI interventions.
Sep 9, 2020 1 min read Machine Learning, Digital Health
Postdoc Opportunity with HDRUK

A new postdoc opportunity with myself and Dr Mike Inouye is available based in Cambridge:
Jul 2, 2020 1 min read Postdoc, Machine Learning, Omics
AISTATS 2020

Congratulations to Kaspar Martens who has had two papers accepted into AISTATS 2020. Papers to be published soon.

Jan 17, 2020 1 min read Student, Machine Learning, Conference, Publication
ICML 2019 SUCCESS!

A paper by Kaspar Martens and group alumni Kieran Campbell Covariate GPLVM has been accepted for presentation at the International Conference on Machine Learning.
Jul 1, 2019 1 min read Machine Learning, Publication
Convolutional filtering for mutation signatures
A novel convolutional filter-based approach for learning mutation signature representations.
Jan 1, 2019 12:00 AM
Convolutional filtering for mutation signatures