Your data. Analyzed rigorously.
Results you can publish.
Biostatistics & bioinformatics support for research — on demand
PhD-level expertise (CNRS · Stanford) · Academic & industry pricing
// What we can do for your project
Services
Punctual support or full project collaboration — adapted to your timeline and budget.
Statistical analysis
From power calculation to final results — rigorous, documented, publication-ready.
- Mixed models, survival, longitudinal
- Bayesian inference
- Power & sample size calculation
Bioinformatics pipelines
Build or fix your analysis pipeline — reproducible, versioned, peer-review ready.
- RNAseq, scRNA-seq, spatial transcriptomics
- Metagenomics, WES/WGS, ChIP-seq
- Multi-omics integration
Microscopy & image analysis
Custom computer vision pipelines for biological imaging data.
- Cell segmentation & tracking
- High-content screening automation
- Deep learning-based classification
Publication figures
Clear, reproducible, journal-ready visualizations from your data.
- ggplot2 / matplotlib / seaborn
- Accessible color palettes
- Scripted & fully reproducible
Methods review & writing
Write or review the statistical methods section of your paper before submission.
- Methods writing for journal submission
- Reviewer response support
- Grant application stats sections
Code & automation
R, Python, bash — clean, documented, reusable code for your lab.
- Pipeline development & optimization
- Code review & debugging
- Workflow automation (Snakemake, Nextflow)
Available for punctual missions (one analysis, one pipeline) or ongoing collaboration — no long-term contract required.
Academic pricing available · Funding-compatible · CIR-eligible for eligible R&D projects
What Probabilityχ does
Quantitative analysis
Advanced statistical methods for biological data interpretation and hypothesis testing.
Automated image analysis
Custom pipelines for microscopy, segmentation, detection, and high-content screening.
Statistical modeling
Bayesian inference, mixed models, and advanced data visualization for complex datasets.
Reproducible pipelines
Version-controlled, documented workflows ready for publication and peer review.
How Probabilityχ works
Structured collaborations
Clear project scoping, milestones, and deliverables tailored to your research timeline.
Reproducibility focus
All analyses include complete documentation, code, and data management plans.
Team integration
Close collaboration with your scientific team throughout the analysis process.
Publication-ready outputs
Results formatted for journals, including figures, statistics, and methods sections.
Selected expertise
Image analysis & computer vision
Custom algorithms for microscopy, medical imaging, and high-throughput visual data analysis.
- Object detection and tracking
- Feature extraction and quantification
- Deep learning-based classification
Statistics & experimental design
Power analysis, randomization, and appropriate statistical tests for scientific experiments.
- Bayesian hierarchical modeling
- Mixed-effects regression
- Multiple testing correction
Machine learning & AI
Deep learning for classification, prediction, and pattern discovery in complex datasets.
- Neural network architectures
- Transfer learning applications
- Explainable AI for validation
Data integration & modeling
Integration of multi-modal data sources for comprehensive systems analysis.
- Dimensionality reduction
- Network analysis
- Stochastic simulation
Proof of credibility
Scientific expertise
Doctorate-level training in quantitative methods and computational analysis.
Years experience
Across academic institutes (CNRS, Stanford) and applied research environments.
Source tools
Contributions to scientific Python/R ecosystem and custom analysis packages.
Reviewed work
Published research and validated methodologies in scientific journals.
Projects
Selected open-source and reproducible research tools, from microscopy automation to stochastic modeling and cancer genomics analysis.
// Who it's for
Do you recognise yourself?
Academic lab
You generate data but don't have a dedicated biostatistician or bioinformatician in the team or wish to train one.
- Analysis bottleneck before submission
- Reviewer asks for better statistics
- New omics data, no pipeline yet
- Grant coming up, need solid methods
Biotech & CRO
You need rigorous stats for client reports, regulatory dossiers, or validation studies.
- Biomarker validation & regulatory stats
- Genomic signature analysis
- Reproducible pipelines for audits
- CIR-eligible collaboration
PhD / Post-doc
You're stuck on a specific analysis, a figure, or a methods section and your supervisor can't help.
- "Something feels off" in the results
- Need a code review or pipeline fix
- Deadline pressure, need fast support
- Reduced academic pricing available
// No commitment
Not sure if it fits?
Book a free 30-minute call. We'll look at your project together and we'll tell you honestly if and how we can help.
No sales pitch. Just a technical discussion.
Book a free 30-min callTypically respond within 24h · EN / FR
// FAQ
Common questions
Discuss your project
Contact Probabilityχ to discuss quantitative analysis, image processing, or statistical design for your research.