About 475 million people, or 10 percent of the world's population, suffer from rare diseases, and over 80% of them are genetic in nature.
The average time to diagnosis is seven years - the so-called diagnostic odyssey. This places a considerable burden on patients and their families.
We aim to pave a way forward by improving the accuracy, speed and accessibility of genetic testing, providing patients with the right information at the right time and empowering them to make informed health decisions.
Recent developments in genetic sequencing technologies have revolutionized genomics, and developments expected in the coming years will make it an essential part of medicine.
As genetic testing becomes more widespread in healthcare, the interpretation of the vast information it provides has become the biggest bottleneck in extending it to more patients and healthcare systems.
That’s where our journey started.
Our team reflects the interdisciplinary collaboration required to solve this grand challenge - from software and data science to genetics and healthcare.
Co-Founder & CEO
Co-Founder & CTO
Head of Machine Learning
Senior Software Architect
Biological Data Scientist
Machine Learning Scientist
Han Brunner, MD, PhD
PROF. OF HUMAN GENETICS, RADBOUD MEDICAL CENTER & HEAD OF CLINICAL GENETICS, MAASTRICHT UNIVERSITY MEDICAL CENTER
Lea Starita, PhD
ASSISTANT PROF. AT DEPARTMENT OF GENOME SCIENCES, UNIVERSITY OF WASHINGTON
Martin Kircher, PhD
GROUP LEADER IN COMPUTATIONAL GENOME BIOLOGY, BERLIN INSTITUTE OF HEALTH, CHARITÉ BERLIN
Elgar Fleisch, PhD
PROF. OF INFORMATION MANAGEMENT, ETH ZURICH & PROF. OF TECHNOLOGY MANAGEMENT, UNIVERSITY OF ST. GALLEN
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