Simachew Mengiste

Computational neuroscientist and data scientist.

I build reproducible analytical systems for scientific and applied problems, combining computational modeling, machine learning, and data analysis.

Network dynamics · 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

Integration-Segregation Trade-off

(Dynamic Networks)

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

Temporal Network Analysis Toolkit

(Scientific Toolkit)

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

Amharic Normalization & Canonical Representation

(Language Technology)

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.