Closing the gender health gap & beyond
Deep Maths & Physics to solve global health challenges
Deep Maths & Physics to solve global health challenges
A mathematical theory that seems to explain them all, from burgeons’ distribution on a branch to active site’s distribution in protein. Nature becomes limpid through the lens of random matrix theory.
French for “moving frame”, a poetic mathematical notion explaining rotation in protein backbone free energy. Both lie at the heart of the technology we are building
PhD, AI Lead & CEO, Mathematics applied to physics & AI 4 patents.
PhD, Biologist, Head of Drug Discovery. Neuropilin pioneer, International Grant Referee, International Journal Referee, member of European Commission as expert, 100 articles, 8 patents.
PhD CSO World-class mathematician Protein free energy
MD PhD Women pathologies Endometriosis expert, 86 papers, 2 patents
COO Serial entrepreneur, co-founded a multi-country group from scratch, with 9 companies.
Chief of Staff BPI, Bank, Gov
We envision a world where deep tech & AI are at the service of human progress
Gender equality, Sustainability, Overlooked population, Fight against pandemics
Globally, women lose 76m of years of life, every year, as opposed to men. Closing the gap could add $1 trillion to the world GDP by 2040.
1% of R&D funding goes to female-specific diseases, $1bn Investment Average amount to develop a new drug, 5 years Average time to find a lead
Instant target identification, Advanced generative AI, AI Error correction
Active site prediction The Holy Grail of molecular biology. In just ms, we can predict where protein active sites are located. And we never miss Breakthrough generative AI, We generate antagonist lead compounds matching promising active sites, with less compute, more speed & more accuracy AI-hallucinations correction, Our maths unveil the deep machinery of multi-layers neural networks. We aim to reach nearly total reliability in silico
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