Summary
Ariane Sasso is a Research Associate in Digital Phenotyping with 11 years of experience applying biomedical informatics, wearables data, and machine learning to mental health and clinical research. Based at the University of Manchester, she bridges clinicians and data scientists to map patient-generated data and EHRs into validated data dictionaries and sensor mappings that strengthen reproducible digital health studies. Her background spans computational pathology for pharma, wearable analytics, and semantic health-data work from roles at Aignostics and the Hasso Plattner Institute, giving her fluency across clinical, research, and product contexts. An advocate for diversity in STEM and open science, she brings both technical rigor and a human-centered perspective to digital phenotyping. Less obvious: she combines formal training in medical informatics and bioengineering with hands-on software engineering experience dating back to early clinical systems work, enabling pragmatic solutions that scale from prototype to research deployment.
11 years of coding experience
10 years of employment as a software developer
Master's degree, Bioengineering - Health Information Systems, Master's degree, Bioengineering - Health Information Systems at Universidade de São Paulo / USP
University of São Paulo
English, Portuguese, German