About us
Institute for AI
Bremen, Germany
Spin-off
10 years
in AI research
WearHealth started as a research spin-off from the Institute for Artificial Intelligence at the University of Bremen (Germany). In fact, the artificial intelligence and machine learning methodologies we apply have been validated by more than 10 years of research at the institute.
That validation includes leading European research projects such as Chronious, an intelligent platform based on AI and data from wearables to evaluate in real time the health status of patients with chronic diseases such as Chronic Obstructive Pulmonary Disease, Chronic Kidney Disease and Renal Insufficiency.
Team
Dr. Esteban Bayro-Kaiser
CEO
PhD in AI and Wearable Computing
Stefanos Trialonis
CTO
M.Sc. Media-Informatics
Diego Soliño
COO
MBA in Business and Health
Dr. Barbara Andreon
Lead Research and Innovation
PhD in Production Engineering
Abdullah Al Noman
Lead Data Scientist
Software Engineering
Alexandra Urbano
Biomedical Engineer
Andrea Scotto Di Minico
Lead UI/UX & Front-end development
Bruna Johann Barbiero
Research assistant
Materials Engineering
Dmitrij Boger
Lead Software Developer
Tobias Dellert
Data Scientist
M. Fawad Jawaid Malik
Software Developer
Usman Zafer
Software Developer
Md Shah Newaz Jubayed
Software Engineer
Md Moin Uddin
Data Scientist
Borja Magrazó
Market Analyst in Spain
Zuriñe Torrealday
Market Analyst in Spain
Thibaut Buvat
Market Analyst in France
Juliana Espada
Market Analyst in Germany
Anastasia Beletskaya
Graphic Designer
Advisors
Prof. Dr. Michael Lawo
Research Advisor
María del Carmen Rial Comesaña
EHS Advisor
Prof. Dr. Wolfgang Renz
Medical Advisor
Dr. David Dean
Strategy Advisor
Michael Zoelzer
Business Advisor
Our intelligence
AI technology validated by more than 10 years of research
AI & Machine Learning
Our system is built with proprietary algorithms and cutting-edge cognitive technologies.
Signal Processing
We apply a decade's worth of practical knowledge on translating signal and time series data into meaningful information.
Anomaly detection
Our algorithms are able to identify events or states over time that go beyond of what would have been statistically expected.
Predictive Analytics
By modeling IoT and contextual data, we are enabling the discovery of trends and provide actionable insights.
Pattern Recognition
We find similarities and trends in unstructured data to detect changes at an early stage.
Gesture recognition
By analyzing motion data from wearables we are able to identify specific human movements and interpret actions.