Elgar Fleisch is a full Professor of Information and Technology Management at the ETH Zurich (Department of Management, Technology, and Economy (D-​MTEC)) and University of St. Gallen (HSG) and Director of the Institute of Technology Management (ITEM-​HSG).

At both affiliations, Elgar Fleisch heads a team of postdocs and doctoral students. He organizes his research in three labs, which cover the disciplines of computer sciences, information systems, management and psychology.

For more than 20 years, Elgar Fleisch’s research interests has focused on the current merging of the physical with the digital world into an Internet of Things. With his transdisciplinary team, he aims to understand this fusion in the dimensions of technology, applications, business models and social implications and, based on this, to develop new technologies and applications for the benefit of the economy and society. All research projects are joint efforts of industry and academia; their results are published in more than 600 scientific journals and books of different disciplines.

Filipe Barata is a postdoctoral fellow at the Center for Digital Health Interventions at ETH Zurich. Together with Prof. Fleisch, he leads and supervises the projects and students of the ADAMMA core.

Filipe Barata holds a diploma (M.Sc.) in electrical engineering and information technology at ETH Zurich. Before joining the Center for Health Interventionsn, where he obtained his PhD, 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).

Fan Wu is a Ph.D. candidate and doctoral student at the Center for Digital Health Interventions since October 2021. As part of her PhD, she will work on a vocal digital biomarker for congestive heart failure.

Fan Wu 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.

Jinjoo Shim is a Ph.D. candidate and doctoral student at the Center for Digital Health Interventions since January 2022. As part of her PhD, she will work on the digitalization of of inflammatory biomarkers for chronic systemic inflammation (CSI).

Jinjoo Shim holds a diploma (M.Sc.) 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).

Patrick Langer is a Ph. D. candidate and doctoral researcher at the Center for Digital Health Interventions since May 2022.

He holds a Bachelor’s as well as 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.

Mike Klausmann is a software engineer and MAS student at ETH Zurich.

Mike Klausmann holds a diploma (M.Sc.) in computer science from ETH Zurich. Since his graduation in 2011, he worked as a software developer for the Inventage AG, where he participated in several projects in the fintech sector. In 2020 he started his MAS at the MTEC department and is currently working on his thesis at the Center for Digital Health Interventions at ETH Zurich.

Mesut Ceylan is a data science master student at Department of Informatics at the University of Zurich.

In his master thesis at the Centre for Digital Health Interventions at ETH Zurich, he has been developing machine learning models for respiratory disease classification from smartphone audio signals. Mesut has several years of work experience in different roles in the healthcare industry.

Moritz Ritzl is a MSc student at the Karlsruhe Institute of Technology.

In his Master thesis at our lab, he is contributing to a novel digital biomarker for congestive heart failure.

Christos Gountis is a MSc student at the Department of Department of Management, Technology, and Economics at ETH Zurich.

In his Master thesis at our lab, he is contributing to a novel digital biomarker for congestive heart failure.

Stefan Jokic is a MSc student at the Department of Computer Science at ETH Zurich.

In his Bachelor thesis at our lab, he developed a machine learning model for speaker verification and identification from smartphone audio recordings.

David Cleres is a Ph.D. Candidate and doctoral student at the Center for Digital Health Interventions since June 2020. David holds a Master’s degree in Computational Science and Engineering from EPFL and a Bachelor’s degree in Bioengineering from EPFL.

Before joining our team, David had the opportunity to develop a broad set of skills in the field of Computer Vision through his Master Thesis conducted at UC Berkeley and his previous Data Engineer position at an Eye-Tracking specialised Start-up. Within his Ph.D. he will work on a vocal digital biomarker for chronic diseases.