our vision

We are helping people with genetic diseases to start a new journey

475 million

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.

7 years

The average time to diagnosis is seven years - the so-called diagnostic odyssey. This places a considerable burden on patients and their families.

The right information at the right time

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.

JOURNEY

Making a difference with genetic medicine

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.

team

Tough challenges
require great people

Our team reflects the interdisciplinary collaboration required to solve this grand challenge - from software and data science to genetics and healthcare.

Rocío Acuña Hidalgo, MD, PhD

Co-Founder & CTO

Andrea Bertana, PhD

Machine Learning Scientist

David Gorgan

Co-Founder & CEO

Ansgar Lange, PhD

COO

Ilona Lehtinen

Product Manager

Stuart Jenks

Product Marketing Manager

Lourdes Rosano

Human Genomics Scientist

Mihajlo Ljubenovic

Front-end Tech Lead

Christophe Meynier

VP Business Development & Sales

Dolores Salvado, PhD

Head of Regulatory Affairs

Max Schelker, PhD

Senior Human Genomics Scientist

Milos Stojkovic

Front-end Engineer

Tina Xiong

Business Operations

Iñigo Gómez

Product Designer

Christine Storey

Inside Sales Representative

Aina Pi Roig, PhD

Clinical Customer Success Manager

Gofur Ahmed

People and Culture Manager

Matan Eylon

VP of Engineering

Pablo Botas, PhD

Head of Product

Chris Papadopoulos

Frontend Software Engineer

Javier Diaz

Regulatory Affairs Specialist

Joshua Jamison

Software Engineer - Backend Tech Lead

Pierpaolo Pantone

Backend Software Engineer

SCIENTIFIC ADVISORS

Meet our experts

We are supported by some of the brightest experts in genomics & healthcare.

Elgar Fleisch, PhD

PROF. OF INFORMATION MANAGEMENT, ETH ZURICH & PROF. OF TECHNOLOGY MANAGEMENT, UNIVERSITY OF ST. GALLEN

Martin Kircher, PhD

GROUP LEADER IN COMPUTATIONAL GENOME BIOLOGY, BERLIN INSTITUTE OF HEALTH, CHARITÉ BERLIN

Lea Starita, PhD

ASSISTANT PROF. AT DEPARTMENT OF GENOME SCIENCES, UNIVERSITY OF WASHINGTON

Han Brunner, MD, PhD

PROF. OF HUMAN GENETICS, RADBOUD MEDICAL CENTER & HEAD OF CLINICAL GENETICS, MAASTRICHT UNIVERSITY MEDICAL CENTER

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Join the team

Join us in leveraging the power of artificial intelligence in genomics to enable fast and accurate diagnosis.

VALUES

How we work

We are a proud, diverse, international group of creative problem solvers and humble learners who care about making a positive impact on society and are also aware of the trust placed in us.

For this reason, we value transparency, kindness as well as personal responsibility and encourage your personal growth.

Creative Problem-solving Personal Growth Positive Impact Kindness

Kindness Diverse & International Transparency Taking Ownership

What's happening?

Read about our latest news, events and success stories.

April 19, 2024
Optimising Genetic Diagnostics: The Role of AION Database in Enhancing Efficiency and Precision
Read more
April 18, 2024
Watch our on demand speaker session from HUGO 2024: Reducing complexity in variant interpretation with AION
Read more
March 21, 2024
Setting the Standard: Nostos Genomics' Path to Regulatory Compliance in Genetic Diagnostics
Read more
See all
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Our Investors

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Find out more about AION in our white paper

Download our white paper to find out how AION’s white-box approach can help you to improve the quality and throughput of your variant interpretation.

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