Posts tagged: Machine Learning
How Do We Handle Rare Events in Synthetic Data?
A look into how we can use synthetic data generation to increase the number of rare events in our dataset, and what are risks and benefits of this approach
Synthetic Data in Machine Learning: Augmentation and Collapse
Exploring the use of synthetic data in machine learning, focusing on augmentation, model collapse, and the implications for health research using synthetic data.
How Synthetic Data Is Used in Healthcare, Research and Beyond
Explore real-world use cases for synthetic data in healthcare, clinical trials, finance and more.
What are GANs and how can they generate synthetic data?
This blog explores Generative Adversarial Networks (GANs) and how they can be used to generate synthetic healthcare data.
Clinic to Code to Care
This blog came out of a talk Steph Jones and I gave at Women in Data and AI in October 2025. It explores the journey of information from a patient in clinic to how that information is coded for research and ultimately ends up informing statistical and machine learning models that can help improve patient care.
What is Synthetic Data and Why Does it Matter?
This blog is the first in a series exploring synthetic data, its benefits, and its applications in various fields.