Team¶
Dr. Filipe Barata¶
Dr. Filipe Barata is the Core Director, AI & Digital Biomarker Research (ADAMMA), Centre for Digital Health Interventions at ETH Zurich. Filipe Barata holds a Ph.D. in Applied Machine Learning and diploma (M.Sc.) in electrical engineering and information technology from ETH Zurich. Before joining the Center for Health Interventions, he worked in the research department of Bruker Biospin, where he developed algorithms for the autonomous interpretation of NMR spectra. In his professional career he gained experience in several research laboratories, including the Department of Biomedical Data Science at the Geisel School of Medicine at Dartmouth College and the R&D department of LMS International (Siemens). Dr. Barata's research focus is to enhance patient-centered healthcare and to provide insight into biological markers by answering clinically relevant research questions in the field of health informatics.
#ADAMMA #DevelopingDigitalBiomarkers
Patrick Langer¶
Patrick Langer is a creator of CLAID and a Ph.D. candidate and doctoral researcher at the Centre for Digital Health Interventions at ETH Zurich. Patrick Langer holds a Bachelor’s and a Master’s degree from TU Ilmenau in Computer Science Engineering with specialisations in medical technologies, machine learning and embedded hardware & software. Having started programming and working with embedded hardware at a very young age, Patrick gained numerous technical skills throughout the years in a self-taught manner and is passionate about applying these skills to solve medical problems. He is one of the winners of the German “Jugend forscht” prize (in 2016), for which he built an EMG-based device that allows handicapped people to play games or write texts. In his master thesis, he developed realtime machine learning applications aiding patients suffering from Parkinson’s disease in everyday life.
#CLAID #ClosedLoopDigitalBiomarkers #ML
planger@ethz.ch patricklanger.com
Fan Wu¶
Fan Wu is a Ph.D. candidate and doctoral researcher at the Centre for Digital Health Interventions at ETH Zurich. Fan obtained her bachelor's degree in electrical engineering and automation from North China Electric Power University and her master’s degree in electrical engineering and information technology from the Technical University of Munich. During her master's degree, she gained expertise in machine learning, computer vision, and robotics. She also gained working and research experience through her master thesis at ETH and her internships in Infineon Technologies and Fraunhofer Institute. Fan's research aims to develop voice monitoring system to investigate trends in voice characteristics in patients with heart failure.
#CongestiveHeartFailure #VoiceBiomarker #DigitalPrognosticBiomarker
Jinjoo Shim¶
Jinjoo Shim is a Ph.D. candidate and doctoral researcher at the Center for Digital Health Interventions at ETH Zurich. Jinjoo Shim holds a Master's degree in Biostatistics at Columbia University in the City of New York. Before joining the Centre for Health Interventionsn, she worked as a data scientist, a biostatistician, and an epidemiologist. She collaborated in clinical and non-clinical research projects examining cost-effectiveness, patient outcomes, social value of treatment, drug utilization, efficacy, quality of care, regulatory guidelines using various real world data (e.g. national-level claims, EHR, registries, omics). As part of her PhD, Jinjoo's research focuses on digital biomarker for longevity and healthspan using wearables and digitalization of chronic systemic inflammation.
#DigitalLongevityBiomarker #WearableCircadianRhythm #InflammatoryBiomarker
jshim@ethz.ch