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Amir Hossein Namdar

@amirhosseinnamdar

Applied mathematician at the University of Birmingham who developed a Python wearable-health analytics prototype for Apple Health and Fitbit data.

United Kingdom

Message

At the University of Birmingham, I independently developed a Python prototype to ingest, clean and aggregate Apple Health and Fitbit time-series data. I created reproducible daily metrics, visualisations and PDF reports, with data provenance and quality checks built into the workflow.

During my PhD research at the University of Manchester, I designed Monte Carlo investigations of stochastic fibre networks and developed MATLAB, Python and Linux/Bash workflows to analyse simulated data. I also supported Python, data analysis and introductory machine-learning practicals, and my research findings were published in Physical Review E and Journal of the Mechanics and Physics of Solids.

Experience

Work history, roles, and key accomplishments

Research Associate

University of Birmingham

Jan 2026 - Apr 2026 (3 months)

Designed and implemented a Python wearable-data prototype to ingest, clean, and aggregate Apple Health/Fitbit time-series data. Developed reproducible daily metrics, visualizations, and PDF reports, and contributed to the collaborative ASKSiD platform.

Python Data Cleaning Time Series Analysis Data Visualization Reproducible Technical Reporting PDF Generation Wearable Data Monitoring Stakeholder Collaboration

PhD Researcher

University of Manchester

Jan 2022 - Jan 2026 (4 years)

Designed Monte Carlo investigations of stochastic fibre networks, analyzing millions of simulated observations. Developed automated MATLAB, Python, and Linux/Bash workflows, and applied scaling, regression, and uncertainty analysis to identify microstructural effects.

Monte Carlo Methods Matlab Python Linux Bash Parallel Computing HPC regression Uncertainty Quantification Finite Size Scaling Discrete Element Method (DEM)Abaqus Data Analysis

Graduate Teaching Assistant

University of Manchester

Jan 2022 - Jan 2025 (3 years)

Supported computational practicals in Python/Jupyter covering data analysis, numerical methods, and introductory machine learning. Explained statistics, regression, and scientific computation to undergraduates.

Python Jupyter Data Analysis Numerical Methods Machine Learning K Means DBSCAN SVM Multi Layer Perceptrons Teaching

MSc Researcher

Sharif University of Technology

Jan 2017 - Jan 2020 (3 years)

Developed mathematical models and performed numerical parameter studies of coupled transport and deformation in responsive hydrogels, translating computed results into engineering design conclusions.

Mathematical Modelling Numerical Simulation Parameter Studies Engineering design