DeepNovation
Pi-shaped multidisciplinary deeptech scientist
Updated: Mar 31, 2021
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.

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.