Ahnjili is a clinical data scientist (Quantified Citizen, Global Drug Survey) and PhD candidate (Leiden University) whose research focuses on analysing smartphone and wearable data to assess one’s mental and physical health status. With these datasets, Ahnjili designed generalised and personalised machine learning models to identify a patient’s clinical diagnosis or forecast their symptom severity.

In her ‘DIY N-of-1 ’ workshop, Ahnjili will provide an outline of how to design a DIY (Do It Yourself) single subject research trial, where an individual person can monitor and learn about their own mental and physical health through self-tracking with smartphones and wearables. The workshop will guide participants through the trial design starting from data collection, data processing, data analysis, to reporting.