Über Christian
Enthusiast of data-driven AI applications in pharma R&D and the emerging European new space industry
With a PhD in space biology and six years of industry experience, I specialize in AI-driven pharma R&D and the European New Space sector. I have optimized clinical trial strategies using real-world data, refined indication-finding algorithms, and acted as a bridge between biomedical and data science teams. In the space industry, I worked on biological space manufacturing experiments sent to space and advised on strategic positioning for New Space ventures.
I enjoy creating impact in these evolving fields—whether through high-level strategy projects or highly technical AI applications grounded in cutting-edge scientific literature. Building ecosystems, driving meaningful results, and truly connecting with people are what drive me.
If you're working on something exciting in data-driven pharma R&D or space—let's connect! Always up for a chat.
Deutsch
Muttersprachlich oder zweisprachig
Englisch
Verhandlungssicher
Schweizerdeutsch
Verhandlungssicher
Spanisch
Grundkenntnisse
Französisch
Grundkenntnisse
Vor Ort möglich
Zürich (bis zu 50 km)
Projekt- und Berufserfahrung
- SelbstständigSelf-Employed Consultant in New Space EconomyOktober 2024 - Heute (1 Jahr und 8 Monate)Zurich, SwitzerlandStrategy and business consulting in the European New Space Economy– Strategic positioning of European space park project
- McKinsey & CompanyAssociateFebruar 2023 - August 2024 (1 Jahr und 6 Monate)Zürich, SwitzerlandStrategy consulting with a focus on pharmaceutical R&D and the European New Space Economy. Engagement highlights:– Optimizing clinical trial portfolios for a leading European pharmaceutical company by developing a first-time predictive lung cancer model using real-world data. Acted as an analytics translator, bridging data science and biomedical expertise: interpreted model results, back-tested with client biomedical teams, designed test scenarios based on scientific literature, and coded model validation tests in Python– Enhancing clinical trial asset selection by optimizing a biological indication finding algorithm for a global biotechnology player. Designed and tested model scenarios, integrating cutting-edge scientific literature to refine the algorithm– Evaluating a satellite de-orbiting business strategy for a European New Space startup, analyzing market trends, public policies, and technical developments– Developing a centralized digital support ecosystem for a European advanced industry client, co-creating and dynamically optimizing a digital service platformMember of:– Eureka scientific AI network for pharma R&D– European Space Interest Group
- McKinsey & CompanyAssociate InternJanuar 2019 - April 2019 (3 Monate)Zürich, SwitzerlandStrategy consulting internship. Part of projects in pharma transformation, public investment, and high-level pharma strategy– Custom-tailored client tool development (Excel scripting) and handover in transformation project– Development of long term scenarios for the pharma industry ecosystem– Client training, client workshops, and relationship building
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Ausbildung und Abschlüsse
- Doctor of Philosophy - PhD, Gravitational BiologyUniversität Zürich | University of Zurich2022Doctor of Philosophy - PhD, Gravitational Biology
- Master ThesisStanford University2018Master Thesis