Mlgh
International research network in machine learning and global health
Training and short courses in modern statistics and machine learning for public/
Facilitating collaboration across partner institutes
Maintaining people profiles and contact information on the website
Machine Learning & Global Health Network connecting researchers across multiple international institutes, founded in 2022.
About
MLGH (Machine Learning & Global Health Network) is an international research network that brings together investigators working at the intersection of machine learning and population health. The network spans institutes in London, Oxford, Bristol, Copenhagen, Kaiserslautern and Singapore and was founded in 2022. The team listed on the site comprises 9 principal investigators, 6 postdoctoral researchers and over 20 students.
The network organises training and educational activities, including a short course titled “Modern Statistics and Machine Learning for Population Health in Africa” scheduled to run in Cape Town, South Africa from 24th to 28th March 2025. The website directs visitors to individual people profiles for contact details and for more information about members and activities.
For general enquiries the site lists an email address (mlglobalhealth@gmail.com). Website content is published under a CC BY NC ND 4.0 licence.
The network organises training and educational activities, including a short course titled “Modern Statistics and Machine Learning for Population Health in Africa” scheduled to run in Cape Town, South Africa from 24th to 28th March 2025. The website directs visitors to individual people profiles for contact details and for more information about members and activities.
For general enquiries the site lists an email address (mlglobalhealth@gmail.com). Website content is published under a CC BY NC ND 4.0 licence.
Services
- ✓International research network in machine learning and global health
- ✓Training and short courses in modern statistics and machine learning for public/
- ✓Facilitating collaboration across partner institutes
- ✓Maintaining people profiles and contact information on the website
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