Roberto Galizi

This paper demonstrates physical learning in engineered bacteria using a genetically encoded local learning rule that updates analogue weights through environmental inputs and differential growth.

The paper presents an ontology-driven approach using LLMs to create software libraries for knowledge graphs in engineering biology, demonstrating it with the SBOL3 Ontology and sbol-script library.

The paper identifies the Y-linked gene draupnir in Anopheles gambiae, showing it escapes transcriptional silencing during spermatogenesis and is necessary for Y-chromosome-based sex-ratio distortion.

The paper analyzes genetic differentiation in Anopheles funestus populations across Tanzania using microsatellites, finding moderate divergence and evidence of connectivity despite geographic separation.

The paper introduces a method to quantify genetic variants in bacterial cultures using Sanger sequencing, validated with engineered plasmids and showing cost reduction compared to qPCR.

This paper describes a system of engineered bacteria that evolve to play tic-tac-toe, demonstrating complex decision-making through gene circuits.

The paper analyzes the potential for an autosomal X-shredder to become a Y-linked drive element in malaria mosquitoes and concludes it is unlikely due to suppression mechanisms.

The paper evaluates resistance to a CRISPR-based gene drive by simulating high selection pressure in Anopheles gambiae and identifies a resistant mutation at an ultra-conserved site.

This study improves gene drive efficacy by reducing resistance and fitness costs through regulatory sequence modifications, leading to better population suppression and delayed resistance.

The paper demonstrates that Y chromosomes from two malaria vector species in the Anopheles gambiae complex function interchangeably, suggesting no hybrid incompatibility loci on the Y and enabling potential cross-species sex-distorting Y drive interventions.