• DeepNovation

Pi-shaped multidisciplinary deeptech scientist

Updated: Mar 31

I love being a pluridisciplinary scientist. During the first 10 years of my career, I became a specialist on nanomedicine theranostics. I was working across domains such as applied mathematics, machine learning algorithmic, building block chemistry, biotechnologies, medicine and physics.

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As a Pi-shaped profile, rather than developing a field of expertise, I instead have the chance to learn fast many new scientific concepts and link them together. Here is a list of technology domains I found particularly interesting in the last 4 years:

  • Structural biology and crystallography

  • Individualized medicine including engineering and delivery of cell & gene therapy

  • Microfluidic, organ on a chip and organoids

  • Data driven chemical reactions, continuous flow manufacturing and bioprocessing

  • Microbiome research, synthetic biology and white chemistry

  • Antibody Bioconjugates, Click Chemistry and Molecular Imaging

  • Liquid biopsy workflow and DNA, RNA, EV biomaterials components analysis

  • Metabolomics and Volatile Organic compounds analysis


Today, I feel lucky to work in an exciting environment where people are looking at breakthrough science and technology.


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