Education

  • 2022 – 2025: PhD in Applied Mathematics – Doctoral School of Mathematics, Computer Science, and Telecommunications of Toulouse (EDMITT)
    Thesis: Optimal Design of Experiments for Computer Code Calibration.

  • 2019 – 2021: Engineering Degree in Data Science and Advanced Statistics – ENSAI Rennes

  • 2017 – 2020: Engineering Degree in Statistics and Applied Economics – INSEA Rabat

  • 2014 – 2016: DEUG in Applied Mathematics – Faculty of Sciences, Oujda

Experience

  • 2022 – 2025: Junior Research Engineer – IFP Energies Nouvelles (IFPEN), Rueil-Malmaison
    Bayesian calibration of a geological simulator for CO₂ storage.
    Gaussian processes, Bayesian inference, experimental design, Python, R.

  • Apr – Oct 2021: Research Internship – Laboratoire des Signaux et Systèmes (L2S), Gif-sur-Yvette
    Gaussian processes and sequential design of computer experiments for quantile estimation.
    Gaussian process modeling, experimental design, Matlab programming.

  • Jun – Aug 2020: Applied Internship – CREST - ENSAI, Bruz
    Robust estimation of statistical parameters.
    Simulation, estimator construction, R programming.

  • Jul – Aug 2018: Discovery Internship – Office des Changes, Rabat
    Analysis of Morocco’s trade flows.
    Descriptive analysis, forecasting, SPSS programming.

Technical Skills

  • Python: NumPy, pandas, Matplotlib, scikit-learn, TensorFlow, PyTorch, Spark, Plotly, OpenCV.
  • R: DiceKriging, DiceOptim, DiceDesign, ggplot2, R Shiny, R Markdown.
  • Matlab: Surrogate Toolbox, Statistics and Machine Learning Toolbox.
  • SQL: Queries, joins, optimization.
  • Other Tools: Git (GitHub, GitLab), C, C++, SAS, SPSS, STATA, LaTeX, Excel, PowerPoint.

General Skills

  • Modeling and Machine Learning: Regression, classification, clustering, dimensionality reduction, deep neural networks (RNN, BNN, DeepGP), reinforcement learning, active learning, surrogate modeling.
  • Optimization: Linear, nonlinear, stochastic, Bayesian, and multi-objective optimization.
  • Statistics and Data Analysis: Inference, model validation, numerical simulation, data preparation, and visualization.
  • Soft Skills: Analytical thinking, communication, continuous learning, scientific monitoring, autonomy, adaptability, innovation, teamwork, and applied R&D.
  • Other Skills: Basic knowledge of Hadoop/Spark environments, MLOps, model interpretability, deployment, and automation.

Certificates

Academic Projects

  • Final Year Project — ENSAI (Oct 2020 – Mar 2021)
    Video Transition Classification
    Python, OpenCV, supervised and unsupervised classification, feature extraction, multivariate time series.

  • Methodological Project — ENSAI (Oct 2020 – Jan 2021)
    Image Processing for Plant Disease Analysis
    Python, ImageJ, image registration, literature review, method comparison.

  • Entrepreneurship Project — ENSAI (Mar – May 2020)
    UTOPIK Fitness Coaching App
    Business plan, financial planning, market analysis.

  • Statistical Project — ENSAI (Jan – May 2020)
    Impact of Tree Species on the Regulation of Millet Head Miner in Bambey (CIRAD)
    Statistical modeling, QGIS, R spatial, biodiversity indices, satellite image analysis.

  • Computer Science Project — ENSAI (Sep – Nov 2019)
    Race Management App: CHRONORUN
    API connection, SQL data collection, Python programming.

  • Survey Project — INSEA (Apr – May 2019)
    Student Consumption Habits Survey in Medinat Al Irfane
    Questionnaire design, field survey, data processing, descriptive analysis.

Preprint

Optimal Design of Experiments for Computer Code Calibration

Date: June 24, 2024
Published on: HAL

PhD Thesis Manuscript

Design of Experiments for Expensive Computer Code Calibration

Date: June 25, 2025
Published on: HAL

Talks

  • Plans d’expériences pour la calibration de codes de calculs coûteux
    Adama Barry, François Bachoc, Sarah Bouquet, Miguel Munoz Zuniga, Clémentine Prieur
    Journées de Statistiques de la SFdS, Université de Bordeaux — May 27–31, 2024

  • Planification d’expériences physiques et numériques pour la calibration de simulateurs
    Adama Barry, François Bachoc, Sarah Bouquet, Miguel Munoz Zuniga, Clémentine Prieur
    Journées CIROQUO, École des Mines de Saint-Étienne — May 14–16, 2024

  • Planification d’expériences physiques et numériques pour la calibration de simulateurs
    Journées CIROQUO, Stellantis Poissy — November 23–24, 2023

  • Plans d’expériences physiques et numériques pour la calibration de codes de calcul coûteux
    École Thématique sur les Incertitudes en Calcul Scientifique, Lège-Cap-Ferret — October 8–13, 2023

  • Plans d’expériences physiques et numériques pour la calibration de codes de calcul coûteux
    GDR-Mascotnum Workshop “Calibration des codes numériques”, IHP Paris — May 31, 2023

  • Plans d’expériences physiques et numériques pour la calibration de codes de calcul coûteux
    Journées CIROQUO, INRIA Saclay — May 23–25, 2023

  • Optimisation bayésienne de code de calculs coûteux
    RJCAF, IHP Paris — December 5–6, 2022

  • Planification d’expériences numériques pour la calibration de simulateurs (Bilan des travaux)
    Journées CIROQUO, BRGM Orléans — November 16–17, 2022

  • Calibration de code de calculs coûteux
    Journées CIROQUO, INRIA Grenoble — May 23–25, 2022

Poster Presentations

  • Calibration de code de calculs coûteux
    Journées des Jeunes Chercheurs en Mathématiques, Massy-Palaiseau — September 2022

  • Plans d’expériences pour la calibration de codes de calculs coûteux
    Journées du GDR-Mascotnum, Giens — April 3–5, 2024

Teaching

  • Basic Mathematics 2
    University of Toulouse III – Licence 1
    Topics: Sets, Functions, and Relations.
    Academic Year: 2022–2023

  • Practical Work: Probability
    University of Toulouse III – Licence 1
    Topics: Law of Large Numbers, Simulation Methods, and Central Limit Theorem.
    Academic Year: 2022–2023

  • Practical Work: Design of Experiments and Uncertainty Analysis
    University of Toulouse III – Master 2
    Topics: Matérn Covariance Functions, Gaussian Process Simulation, and Sensitivity Indices Estimation.
    Academic Year: 2022–2023