CV

Curriculum Vitae

Basics

Name Edimah SYNESIUS SONGO
Label Applied Mathematician · Building Reliable AI Systems for Regulated Domains
Email edimah.synesius-songo@proton.me
Url https://edimah.github.io/
Summary Applied mathematician building reliable, mathematically grounded AI systems for regulated environments. Core toolkit: Bayesian and frequentist inference, optimisation for ML, kernel methods, deep learning, signal processing.

Work

  • 2026.02 - Present
    Data Lead (interim)
    CRCDC Guadeloupe, Saint-Martin, Saint-Barthélémy
    Rebuilding the end-to-end data chain of a regulated public health cancer-screening organisation.
    • System audit, pipeline automation, and data governance on sensitive regulated health data
    • R-based statistical reporting for national regulating entities
  • 2025.10 - Present
    Independent Consultant — AI Reliability, Statistical Modelling & EU AI Act Readiness
    Freelance
    Statistical modelling and AI reliability consulting for regulated environments.
    • Public health data chain audit and automation, anomaly detection frameworks, model evaluation methodology
    • Building toward EU AI Act readiness assessments for healthcare and financial services clients
  • 2023.11 - 2024.08
    Research Engineer (CDD)
    IFP Energies Nouvelles & ONERA
    Uncertainty and sensitivity analysis for coupled multiphysics systems (electrical motors, propulsion).
    • Variance-based sensitivity indices (Sobol) and kernel-based methods for high-dimensional input spaces
    • Exited to pursue a broader mathematical research agenda in AI systems and probabilistic ML
  • 2023.04 - 2023.09
    Applied Mathematics Intern
    EDF R&D
    Bayesian calibration of physics models with uncertain inputs.
    • Bayesian calibration of physical models with noisy data using Python and OpenTURNS
    • MCMC sampling methods and exploration of unbiased parameter estimation via Markov-chain couplings
  • 2022.07 - 2022.08
    Data Analysis & Science Intern
    Avicenne Hospital
    Healthcare data analytics for patient management.
    • Patient attendance data & trend analysis
    • Development of interactive dashboards in R

Education

Certificates

Skills

Statistics & Inference
Bayesian Inference
Statistical Modelling
Uncertainty Quantification
Sensitivity Analysis
Computational Statistics
Time Series Analysis
Programming & Data Science
R
Python
Git
LaTeX
Markdown
Jupyter
Mathematics & Machine Learning
Statistical Learning
Deep Learning
Optimisation
Stochastic Processes
Numerical Methods

Languages

French
Native speaker
English
Fluent

Interests

Sports
Muay Thai
Bouldering
Arts
String Instruments