Über Yohan
(12/2023 - description update in progress)
(11/2018 - outdated)
I worked for almost 3 years as an Omics Data Scientist at L'Oréal Advanced Research. There, I was working on multi-omics machine learning and statistical network models for the analysis of data generated from tissue engineered skin, clinical transcriptomics studies and cosmetics repositioning.
Previously, as a PhD Teaching Assistant and Computer Programmer, I used computer game development to create and teach a course in biomedical modeling and to mentor students on the development of biological soft matter simulations. In parallel, I designed a smartphone application, EZPaperz for Papers, for easier reference management and synchronization on Android. Later, I released similar versions of EZPaperz for other reference management softwares, namely MendEZ for Mendeley, ZotEZ for Zotero and Aziz, Lite! . Additionally, I worked with a midwife to design ezPregnancy, a lightweight Android/iOS app for helping obstetrics experts follow the pregnancy of their patients.
As a skill still in development, I really enjoy logo and game skin design, in addition to scientific/medical sketching.
Englisch
Verhandlungssicher
Französisch
Muttersprachlich oder zweisprachig
Spanisch
Konversationssicher
Chinesisch
Grundkenntnisse
Nur remote
Führt Projekte hauptsächlich remote aus
Projekt- und Berufserfahrung
- RocheSenior ScientistHIGHTECHOktober 2018 - Februar 2023 (4 Jahre und 5 Monate)Bâle, SchweizVascularized organs-on-chip engineer and project leader. From wet lab to in silico modeling and AI-based computer vision. Cross-validation (from in vitro to in silico) of models to assess vascular toxicity based on automated imaging. Leading key robotisation initiatives to remove experimental biases in Organoid engineering and drive the ML-aided transformation of research process.
- L'Oréal Centre de RechercheLab Head - Research Engineer - hypodermis knowledge BU - high throughput biologyMODE & KOSMETIKJanuar 2018 - Oktober 2018 (10 Monate)Aulnay-sous-Bois, Frankreich
- L'Oréal - InnovationMutli-Omics Data Scientist - Research EngineerMODE & KOSMETIKNovember 2015 - März 2018 (2 Jahre und 4 Monate)Aulnay-sous-Bois, FrankreichOmics statistical and machine learning models for clinical data and reconstructed skin data analysis and cosmetics/drug repositioning:• Full Stack development from Mathematical model generation, data integration, parallel computing optimization to final data visualization (UI+UX) and documentation for further outsourcing• Biological interpretation of the data and Generation of actionable insights for biological/- clinical validation: Proposals for new targets in hair regeneration, skin aging | Proposals for drug repurposing | Validation strategy• Master student mentorship for new correlation network-based systems• Participation in academic chair on ML for multi-omics correlation of in vitro and ex-vivo models of skin reconstruction• Benchmarking deep-learning and other AI-based commercial solutions for biological analyses• Consultant in the Biomaterials and Tissue Engineering task forces
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Ausbildung und Abschlüsse
- Ph.D.Sorbonne Paris Cité2015Biomaterials and Regenerative Medicine
- M.Sc. in Biomedical Engineering (with Distinction)Imperial College London2011Biomedical Engineering, In Silico Modeling, Biomaterials and Tissue Engineering
Zertifizierungen
- Machine Learning : ClassificationCoursera
- Machine Learning with TensorFlow on GCP SpecializationCoursera