Writing
Technical notes, publications, and longer project writeups.
Technical Notes
- Amharic Normalization and Canonical Representation
Technical note on a deterministic Amharic normalization layer with reversible canonical representation, ambiguity-aware Latin decoding, and punctuation standardization.
- Reproducible Market Analytics Pipeline
Design and rationale for a Snakemake-orchestrated time-series pipeline with SQLite checkpoints and LLM-assisted reporting.
- Temporal Network Analysis Toolkit: Design & Metrics
Technical note describing a modular toolkit for constructing temporal networks, generating null models, and computing reachability and dynamism metrics.
- Network Degeneration Simulation Pipeline
Technical note on staged node and edge degeneration strategies, deterministic pruning schedules, and structure-first experiment design for spiking-network simulations.
- Structural Controllability and Observability
Technical note on structural controllability, driver-node growth under edge removal, and interactive pruning demos.
Publications
- Inhibitory Gain and Hub Architecture Confer Dynamic Resilience to Microcircuit Degeneration
Investigates how inhibitory gain modulation and hub network structure contribute to resilience against microcircuit degeneration.
- Dynamic Functional Connectivity Resolves Brain Integration-Segregation Trade-off Under Costly Links
Shows that time-varying functional brain networks improve information spreading efficiency under costly connectivity constraints while preserving local structure, balancing integration and segregation.
- Disease severity-specific neutrophil signatures in blood transcriptomes stratify COVID-19 patients
Identifies neutrophil-driven gene expression signatures in blood transcriptomes that stratify COVID-19 patients by disease severity and reveal distinct immune response phenotypes.
- Relevance of network topology for the dynamics of biological neuronal networks
Reveal the effect of degeneration on structure and dynamics.
- Effect of edge pruning on structural controllability and observability of complex networks
Compute optimal size of driver nodes and sensors needed to control and monitor complex systems under attack.
Theses
- Computational Approaches to the Degeneration of Brain Networks and Other Complex Networks
Develops computational models of progressive synaptic pruning and neurodegeneration to study their impact on the structure and dynamics of brain and complex networks.
- A Survey on Euclidean Number Fields
Provides a survey of Euclidean number fields, covering Euclidean functions, norm-based criteria, and known results on Euclidean minima across number fields of various degrees.