Emmanuel A. Atindama
Statistician in CMC and biopharmaceutical manufacturing at Bristol Myers Squibb.
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). |
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| 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
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Hybrid Algorithm for Filling in Missing Data in Electron Backscatter Diffraction ImagingIntegrating Materials and Manufacturing Innovation, 2025 -
Crystallographic Data Reconstruction Using Weighted Total Variation Flow and a Hybrid Deep Learning MethodProQuest, 2024