Building an agentic AI Platform to help understand and cure diseases. Owkin has built a vast network of over 800 hospitals globally, and has a decade worth of experience in helping pharma companies bring drugs to market faster and more efficiently, and we're not leveraging all of that to build the worlds first AI Scientist Platform to help cure diseases.
Co-Founder (non operational)
WIQ
Oct 2025 - Current(1 year 1 month)
Agents Built from How Work Actually Gets Done.
Passively discover every process you run and turn them into agents in your AI platform of choice.
I joined the Company in early 2019, and left in March 2020. Bringing practical Augmented Intelligence to enterprise customers. Served as the Chief AI Officer for the first approx. 1.3 years, focusing on building out our R&D team and leading its efforts, and now as an external advisor to the team.
As an Associate, I helped in development & project management of the new digital and automated fund management and stock screening processes. Development of S-Ray the new and highly innovative premium service for screening the sustainability of 4000+ blue chip companies and the visualizations of these. Pushing towards a more sustainable world. Financial services and investment has to play a big role in this mission and Arabesque is known as the best path to ensure the right global development.
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Angel Investor, Mentor & Consultant
Weinberger Ventures
Jan 2016 - Current(10 years 10 months)
Experimenting with new business models and technologies and helping various clients across all industries and sizes with their data, management and security projects. Mentoring, advising and investing in early stage companies, sector focus on AI, Cyber-Security and Open-Science startups. Co-Founder of startup initiatives like EWOR.com. Investments include (not all listed here): World, Nora.ai, Rewind.ai/Limitless,
Researcher (internship)
Max Planck Institute for Brain Research
Oct 2015 - Oct 2016(1 year 1 month)
Studying the Visual Cortex at the Singer Group. 3 month long internship, then extended project work, mostly code, did not work on any publication. Also in collaboration with Prof v.d. Malsburg at FIAS
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Data Scientist, Machine Learning and Software Engineer
Swapster GmbH
Oct 2015 - Feb 2016(5 months)
Planning and developing the infrastructure and anomaly-detection algorithms to trade items online in a new, safe and regulated way.
Co-Founder & CTO
Gaia Solutions
Sep 2015 - Feb 2017(1 year 6 months)
Built a platform to help farmers manage their fields more effectively by using satellite data and computer vision to identify risk areas in the field and proactively suggest solutions to the farmer. Great idea, cool product, but impossible go-to-market. Learned a lot.
Space-App Winning Team
European Space Agency ESA
Sep 2015
23 extremely capable and immensely curious Programmers work on the greatest problems, solving them with cutting-edge technologies and the newest available satellite and sensor data.
Designing and implementing Machine Intelligence algorithms inspired by cortical principles. Moving towards a more biologically plausible theory and replicate of intelligence. Numenta.org Github.com/Numenta
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Research Intern
Goethe University Frankfurt Main
Jun 2013 - Jul 2013(2 months)
Learned about and worked in complex dynamical systems, with the reference system of neural circuits and Quantum Chromodynamics (QCD).
Bachelor of Science (B.Sc, Theoretical and Mathematical Physics
Goethe University Frankfurt
Jan 2015 - Dec 2016(2 years)
This seemed not too useful to me, did not graduate.
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Abitur, Abitur
EichendorffSchule
Jan 2007 - Dec 2015(9 years)
The formal part, used most of my time for my own research and education...
Machine Learning
Massachusetts Institute of Technology
Remote online studies
Computer Science, AI etc.
Udacity
Projects (professional or personal)
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side project in 3d visualization of text analysis
Jan 2016 - Mar 2016(3 months)
Side project with madm.dfki.de (DFKI) for a 3D visualization, worked on a 3D world map visualization of the mined topics.
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GAIA
Sep 2015
The GAIA App won the ESA App Camp challenge by proposing the use of satellite data for agriculture, matching areas of interest with possible diseases. This would allow farmers to benefit from early warnings, for evaluating crops at risk. It could also provide tips on how to respond to possible dangerous situations in their fields. The basic Prototype was implemented over the course of less then one week. Further work will continue to make this available to the public.
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nostradamIQ
Jun 2015
nostradamIQ aims to provide users with a visually and intuitive platform to learn and stay informed about natural and man-made catastrophes. For more information, please refer to https://nostradamiq.org
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Macaque ITC multielectrode recordings correlate to sequential furier transfrom of the visual stimulus.
May 2014
Project related to a course on neural data processing.