Liliana Barrios has a background in Computer Science and currently holds a postdoctoral fellowship at the Digital Society Initiative (DSI). She is also affiliated with the Swiss Data Science Center at ETH, where she works on an Innosuisse innovation project. She completed her PhD in Computer Science at ETH Zurich in 2023 – "Enabling Objective Fatigue Quantification in Neurological Patients Through Mobile Technologies". In 2016, she obtained an MSc degree in Informatics from the University of Zurich. Before that, she received her Dipl.-Ing. in Computer Science from Simón Bolívar University, Venezuela, in 2012.

Her research focuses on utilizing cutting-edge digital technology to derive novel digital biomarkers that enhance healthcare and improve patients' quality of life. Digital biomarkers complement traditional patient-reported outcomes by providing deeper insights into patients' daily lives, offering objective measurements and continuous monitoring. To make her research more tangible, she concentrates on studying fatigue, a highly prevalent symptom of chronic conditions. Fatigue is often overlooked or neglected as medical professionals struggle to effectively treat it, leaving patients to cope with this symptom on their own. Liliana collaborates closely with other researchers and medical institutions to develop meaningful tools for clinicians and patients. Additionally, she is interested in finding ways to translate this research into practical applications that can be integrated into routine patient care.