Surveillance of pathogens using population genomics and sequencing
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Updated
Oct 27, 2026 - Nextflow
Surveillance of pathogens using population genomics and sequencing
Smart Environmental Nucleic-acid Tracking using Inference from Neural-networks for Early-warning Localization
Detect novel bacterial taxa in metagenomic data using ANI-weighted placement uncertainty. Distinguishes true novelty from taxonomic ambiguity by combining competitive read recruitment with genome-genome ANI matrices. Species/genus classification with literature-backed thresholds.
BIOWATCH AI — A research-grade biological surveillance and epidemiology monitoring prototype with open data connectors, anomaly detection engines, and epistemic-honest visualizations.
SeqScreen wrapper exposing the biosurveillance pipeline as MCP tools. Built for the Apart AI × Biosecurity Hackathon, April 2026.
Physics-informed distributional features for pathogen-agnostic threat detection in gene expression data
Two-stage metagenomic screening and in-silico confirmation of high-consequence pathogens (human/animal/plant). Research code; not validated for diagnostic use.
Metagenomic Bio surveillance Analyst-Interview-QA
Quantum kernel SVM for rapid Ebola strain triage (Bundibugyo · Zaire · Sudan · Non-HF). ZZFeatureMap encoding of 20 clinical features. Motivated by the 2026 DRC/Uganda Bundibugyo PHEIC. PennyLane · scikit-learn · imbalanced learning.
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