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Updated from my latest resume. Download the PDF and browse role-by-role details.
General Information
| Full Name | Emmanuel A. Atindama |
| Location | New Brunswick, NJ, USA |
| Profile | 7+ years of industry, academic, and research experience in Data Science, Statistics, and Machine Learning Engineering |
| Focus Areas | CMC statistics, biopharmaceutical manufacturing, design of experiments, comparability analysis, computer vision |
Professional Experience
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Dec 2025 - Present New Brunswick, NJ
Statistician - CMC & Biopharmaceutical Manufacturing (Contractor)
Bristol Myers Squibb - Leading AI development for statistical analysis automation to support regulatory filings
- Leading a team to develop AI agents for statistical memo generation from statistical analysis outputs
- Built R Shiny dashboards for fixed-effects and mixed-effects stability modeling
- Perform daily statistical analyses supporting filing, drug development, investigations, and tech transfer
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Dec 2025 - Present New Brunswick, NJ
Statistician - CMC & Biopharmaceutical Manufacturing
SOKOL GxP - Leading AI development for statistical analysis automation to support regulatory filings
- Supporting CMC statistical workflows in regulated biopharmaceutical settings
- Contributing reproducible analyses and communication for manufacturing and quality stakeholders
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Aug 2024 - Dec 2024 Toledo, OH
Visiting Assistant Professor - Data Science
University of Toledo - Developed and taught Data Visualization with Shiny
- Taught Base SAS and Python for data analytics and statistical methods
- Taught undergraduate mathematics courses for engineers
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Aug 2020 - Aug 2024 Potsdam, NY
Doctoral Researcher (Dissertation: Computer Vision and Image Reconstruction)
Clarkson University - Created PyEBSD-SEM, a Python library for restoring orientation maps from scanning electron microscopy data
- Proposed a 3D convolution kernel to estimate texture with spatial deviation in grain microstructures
- Built Python access scripts for Dream3D software pipelines
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Sep 2021 - May 2023 Potsdam, NY
Data Scientist
Clarkson University - Cleaned and analyzed student retention and graduation data in R
- Built predictive models to identify high-risk students
- Presented analytical findings to university leadership for intervention planning
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May 2023 - Aug 2023 Troy, NY
Statistician (Intern)
Regeneron Pharmaceuticals - Cleaned, compiled, and analyzed change control data using survival analysis
- Studied sampling plans for assessing and quantifying lot quality
- Studied experimental design (DOE) methods for bioassays
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Aug 2017 - Jun 2019 Accra, Ghana
Teaching Assistant
University of Ghana - Taught undergraduate Calculus and Algebra recitations
Personal Projects
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2025 LoRA as a Flexible Framework for Securing Large Vision Systems
- Applied low-rank adaptation methods to build security patches for image-classification pipelines in autonomous systems
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2025 Image Processing Web Application
- Built a Flask-based application for image-processing tasks using OpenCV
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2024 PyEBSD-SEM
- Built tools for measurement, visualization, denoising, and restoration of EBSD orientation maps
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2023 Evaluating Intervention Methods in STEM Courses
- Compared student demographics, test scores, and graduation outcomes to evaluate intervention effectiveness
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2015 Data Encryption using Matrix Cryptography
- Implemented and evaluated matrix-based encryption and decryption algorithms in Python
Publications and Presentations
- SIAM IS24, Crystallographic Data Restoration Using Weighted Total Variation Flow and a Hybrid Deep Learning Method
- SIAM MS24, Advances in Parameter-Free Reconstruction of Grain Orientation Data
- RAPS Spring 2023, Measuring the Impact of Student Success Retention Initiatives for Engineering Students at a Private Research University
- JMM 2023, Weighted Total Variation Flow for Crystallographic Data Reconstruction
- MCCNNY 2022, Weighted Total Variation Flow for Crystallographic Data Reconstruction
- {"SIAM IS22, Weighted Total Variation Based Algorithm for Reconstruction of Grain Orientation Data"=>"A Comparative Study"}
- SIAM MS21, Partial Differential Equation Based Methods for Reconstruction of Grain Orientation Data
- Frontiers in Education Journal (Dec 2022), Measuring the impact of student success retention initiatives for engineering students at a private research university
- Integrating Materials and Manufacturing Innovation (Aug 2023), Restoration of Noisy Orientation Maps from Electron Backscatter Diffraction Imaging
Honors and Awards
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2025 Better Scientific Software Fellowship
- Recognition and funding for leadership and advocacy in high-quality scientific software
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2024 SIAM MS24 Travel Grant
- Award to attend the conference and present research
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2021 NIST Grant (2021-NIST-MSE-01)
- Award supporting restoration of orientation data from polycrystalline materials as graduate student researcher
Skills
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Programming
- Python
- R
- Java
- MATLAB
- Octave
- Linux Shell
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Data Analytics and Visualization
- Pandas, NumPy, OpenCV
- Matplotlib, ggplot2, Tableau
- R Shiny dashboards
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Statistical Analysis
- JMP, SAS, R
- Sampling plans and acceptance sampling
- Survival analysis and multiple regression
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Machine Learning
- PyTorch, TensorFlow, Keras, scikit-learn
- NLP and text mining
- Generalized linear models, logistic regression, XGBoost, random forest, neural networks
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Data and Cloud Systems
- MySQL, SQLite
- Cloud computing workflows
Education
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Sep 2021 - Aug 2024 New York
PhD, Applied Mathematics (GPA 3.89/4.0)
Clarkson University - Research in algorithms, deep learning, image processing, statistics and probability, and linear algebra
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Jul 2019 - May 2021 New York
MS, Applied Mathematics (GPA 3.89/4.0)
Clarkson University - Coursework in machine learning, numerical analysis, probability, statistics, and data mining
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Aug 2013 - May 2017 Accra
BS, Statistics (GPA 3.24/4.0)
University of Ghana - Coursework in computational methods, Python programming, statistical methods, and data analytics
Certifications
- Python (Basic), HackerRank Certification, ID 447853C2B7BE
- SQL (Basic), HackerRank Certification, ID 5E588A452CF9