Emmanuel A. Atindama

Statistician in CMC and biopharmaceutical manufacturing at Bristol Myers Squibb.

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Mathematics, statistics, and data science for practical decisions

Transforming Data into Actionable Insights

I am an applied mathematician and statistician focused on data-driven modeling of real-world dynamics.

I develop statistical and computational tools for decision-making across research, operations, and regulated environments. Currently, I am working on AI integration for automating statistical reporting in regulatory submissions

I earned my PhD in Mathematics (2024) from Clarkson University where I built PyEBSD-SEM, an open-source toolkit for EBSD data processing.

Quantitative Focus

Statistical analysis, experimental design, data-driven modeling, and software development.

Working Style

Reproducible scientific work with cross-functional collaborations.

Domain Experience

Biopharma, manufacturing analytics, academic research, data-driven modeling, and building Python libraries.

Core Stack

Python, R, SAS, JMP, Shiny, Streamlit, and Git (Version Control).

Professional Background

Recent roles include Statistician (CMC and Biopharmaceutical Manufacturing) at Bristol Myers Squibb and SOKOL GxP, Visiting Assistant Professor at the University of Toledo, and earlier statistics/data-science roles at Clarkson University and Regeneron.

For complete experience and publications, see my CV and blog.

news

Jun 09, 2026 Latest blog post: Equivalence Concordance Rate (ECR): Calibrating Equivalence Acceptance Criteria (Aug 25, 2026).
May 20, 2026 Current research and development: advancing AI capability for statistical analysis automation and streamlining collaboration with stakeholders for regulatory filings.
May 05, 2026 Current hobby focus: building robotics and microelectronics prototypes using Raspberry Pi kits.
Dec 01, 2025 Started my most recent role change in Dec 2025 as a CMC Statistician supporting biopharmaceutical manufacturing and regulatory decision-making.

selected publications

  1. ebsd_filling.gif
    Hybrid Algorithm for Filling in Missing Data in Electron Backscatter Diffraction Imaging
    Emmanuel Atindama, Huston Wilhite, Cody Mattice, and 2 more authors
    Integrating Materials and Manufacturing Innovation, 2025
  2. sunflower.png
    Impact of targeted interventions on success of high-risk engineering students: a focus on historically underrepresented students in STEM
    Emmanuel Atindama, Michael Ramsdell, David P. Wick, and 2 more authors
    Frontiers in Education, 2025
  3. filling.gif
    Crystallographic Data Reconstruction Using Weighted Total Variation Flow and a Hybrid Deep Learning Method
    Emmanuel A. Atindama
    ProQuest, 2024
  4. filling_0_0_w.gif
    Restoration of Noisy Orientation Maps from Electron Backscatter Diffraction Imaging
    Emmanuel Atindama, Peter Lef, Günay Doğan, and 1 more author
    Integrating Materials and Manufacturing Innovation, 2023
  5. ROC.png
    Measuring the impact of student success retention initiatives for engineering students at a private research university
    David P. Wick, Emmanuel Atindama, Prashant Athavale, and 4 more authors
    Frontiers in Education, 2022