top of page
Spotlight on 🔦Selina Nath🔦
Selina Nath Senior Research Fellow, UCL Contact: s.nath@ucl.ac.uk What does your job actually entail? I have the best job in the world. I work with data and have always worked on projects that I am passionate about. My day-to-day job includes data cleaning / problem solving, analysis and write-up. My hours are flexible, which is just as well because project is always on my mind. When not at work, you can be found... Being a mother, or Yogi under a tree (trying anyways) Why
Jan 21
Data Diversity Theme Volunteer: Help Make Health Data Work for Everyone
Want to get involved in practical work on data diversity and health equity, alongside a friendly global community? The DSxHE Data Diversity Theme focuses on a simple problem with big consequences: many biomedical datasets don’t represent the people most affected by disease. When data is skewed, research findings may not generalise well, and tools like risk scores and predictive models can perform worse for underrepresented groups. That gap doesn’t just “happen”. It reflects d
Jan 19
Mind the gap: The case for sex and gender-aware mental health prediction models
What if we could spot the warning signs of a mental health crisis before it escalates? What if we could predict when someone is likely to relapse after treatment? And what if we could identify who might benefit most from early intervention programmes? This is the promise of clinical prediction models: tools that use information like age, medical history, and laboratory test results to estimate someone’s risk of developing a condition or needing care in the future.
Jan 13
bottom of page