level-one heading

Why Kolabtree
Getting started is quick and easy. No upfront fees
It’s free to request a service and invite bids from experts
Discuss requirements with the expert in detail before accepting statement of work from Kolabtree
Collaborate with the expert directly to get your work done the right way
Fund project when you hire the expert, but approve the deliverables only once work is done
Want to hire this expert for a project? Request a quote for free.
Profile Details
Create Project
★★★★★
☆☆☆☆☆
USD 60 /hr
Hire Océane C.
France
USD 60 /hr

Freelance editor and data scientist | PhD in biostatistics and interpretable Machine Learning for genomics

Profile Summary
Subject Matter Expertise
Services
Writing Technical Writing, General Proofreading & Editing
Research Scientific and Technical Research, Systematic Literature Review
Consulting Scientific and Technical Consulting
Data & AI Predictive Modeling, Statistical Analysis, Algorithm Design-ML, Data Visualization, Big Data Analytics, Text Mining & Analytics, Data Mining, Data Cleaning, Data Processing, Data Insights
Work Experience

Editor

Ephyra Publishing

January 2025 - Present

Postdoc

LIRMM

January 2023 - December 2024

Invited Teaching Assistant

University of Montpellier

January 2019 - August 2024

P.h.D : Statistical inference of regulatory networks in Arabidopsis under climate change

IPSiM

October 2019 - December 2022

Education

MASTER (Informatique - Intelligence artificielle)

Université Claude Bernard Lyon 1

- Present

Engineering degree (Bioinformatics and modelling)

Institut National des Sciences Appliquées de Lyon

- Present

Certifications
  • Certification details not provided.
Publications
PREPRINT
Océane Cassan, Julien Raynal, Christophe Vroland, Kayoko Yasuzawa, Tsukasa Kouno, Jen-Chien Chang, Chung-Chau Hon, Jay W. Shin, Masaki Kato, Hazuki Takahashi, et al. (2025). A genome-wide, machine learning-guided exploration of the cis-regulatory code involved in neuronal differentiation .
Océane Cassan, Léa-Lou Pimparé, Timothy Mozzanino, Cécile Fizames, Sébastien Devidal, Fabrice Roux, Alexandru Milcu, Sophie Lèbre, Alain Gojon, Antoine Martin (2024). Natural genetic variation underlying the negative effect of elevated CO2 on ionome composition in Arabidopsis thaliana .
Océane Cassan, Léa-Lou Pimparé, Timothy Mozzanino, Cécile Fizames, Sébastien Devidal, Fabrice Roux, Alexandru Milcu, Sophie Lèbre, Alain Gojon, Antoine Martin (2024). Natural genetic variation underlying the negative effect of elevated CO2 on ionome composition in Arabidopsis thaliana .
Océane Cassan, Léa-Lou Pimparé, Timothy Mozzanino, Cécile Fizames, Sébastien Devidal, Fabrice Roux, Alexandru Milcu, Sophie Lèbre, Alain Gojon, Antoine Martin (2023). Natural genetic variation underlying the negative effect of elevated CO2 on ionome composition in Arabidopsis thaliana .
Océane Cassan, Charles-Henri Lecellier, Antoine Martin, Laurent Bréhélin, Sophie Lèbre (2023). Optimizing data integration improves Gene Regulatory Network inference in Arabidopsis thaliana .
Océane Cassan, Léa-Lou Pimparé, Timothy Mozzanino, Cécile Fizames, Sébastien Devidal, Fabrice Roux, Alexandru Milcu, Sophie Lèbre, Alain Gojon, Antoine Martin (2023). Natural genetic variation underlying the negative effect of elevated CO2on ionome composition inArabidopsis thaliana .
JOURNAL ARTICLE
Océane Cassan, Adrien Jarretier-Yuste (2025). An inaugural editorial for Systems Aging . Systems Aging.
Océane Cassan, Charles-Henri Lecellier, Antoine Martin, Laurent Bréhélin, Sophie Lèbre, Inanc Birol (2024). Optimizing data integration improves gene regulatory network inference in Arabidopsis thaliana . Bioinformatics.
Océane Cassan, Léa‐Lou Pimparé, Christian Dubos, Alain Gojon, Liên Bach, Sophie Lèbre, Antoine Martin (2023). A gene regulatory network in Arabidopsis roots reveals features and regulators of the plant response to elevated CO2 . New Phytologist.
David Séré, Océane Cassan, Fanny Bellegarde, Cécile Fizames, Jossia Boucherez, Geoffrey Schivre, Jacinthe Azevedo, Thierry Lagrange, Alain Gojon, Antoine Martin, et al. (2022). Loss of Polycomb proteins CLF and LHP1 leads to excessive RNA degradation in Arabidopsis . Journal of Experimental Botany.
Oc{\'{e}}ane Cassan and Sophie L{\`{e}}bre and Antoine Martin(2021). Inferring and analyzing gene regulatory networks from multi-factorial expression data: a complete and interactive suite . BMC Genomics. 22. (1). Springer Science and Business Media {LLC}