Simachew Mengiste

Computational researcher and Data scientist.

I investigate scientific and applied questions through computational modeling, machine learning, and reproducible data analysis. I build reliable analytical tools that turn methods and findings into practical, usable systems.

Computational neuroscience · Machine learning · Data systems

Selected Projects

A few representative pieces of work spanning scientific modeling, applied analytics, and practical language tooling.

Static and dynamic network resources compared with guided and random-walk spreading in static and temporal networks
2026
Research on how dynamic functional brain networks balance efficient information spreading with segregation under constrained connection costs.
dFCIntegration-segregationTemporal networksInformation diffusion
Temporal network analysis workflow and example outputs
2026
Maintained toolkit for constructing, simulating, and analyzing temporal networks, with documented measures of integration, segregation, reachability, and dynamism.
Temporal graphsdFCNull modelsRandom walks
Amharic normalization and canonical representation pipeline
Deterministic orthographic normalization framework for Amharic, featuring a reversible canonical representation (CAR), ambiguity-aware Latin decoding, and bidirectional punctuation standardization.
Canonical encodingTransliterationFastAPINLP

Focus

Scientific modeling

Computational neuroscience, temporal networks, graph structure, and simulation workflows.

Applied analytics

Data pipelines, baseline models, evaluation, and clear analysis for decision-oriented work.

Usable systems

APIs, dashboards, NLP utilities, and tools that make models easier to inspect and apply.