Applied AI Research
My research centers on CytoCV and adversarial machine learning, with additional work in computational biology automation.
Nicolas Gioanni
My research centers on CytoCV and adversarial machine learning, with additional work in computational biology automation.
CytoCV Demo
5 min 28 secCytoCV: Web-based platform for reproducible yeast microscopy image analysis
CytoCV is an open-source platform that turns yeast microscopy stacks into reviewable per-cell fluorescence measurements and structured exports.
Reduced manual analysis by 97%, cut processing time by 73%, and reduced file storage by 56.6%.
An independent study in adversarial machine learning that prototyped four attack families and four defensive strategies across standard image-classification benchmarks.
Optimized batched Keras defense execution to under 5 seconds while preserving 94% clean-data accuracy.
Guide Donor Scheduler: Yeast DNA target selection automation
Guide Donor Scheduler converts yeast FASTA sequences and requested amino-acid substitutions into CRISPR guide and donor constructs with researcher-ready XLS output.
Reduced manual research workflows by 99%.