Research
Isabella Garcia
Detection Research Lead
Builds detector evaluation pipelines and adversarial benchmarks.
Isabella runs Truuly's red-team program against major AI detectors, continuously updating the evaluation suite as new classifier versions ship. Her benchmarks directly inform which humanization strategies surface in each release.
She works in the gap between writing quality and classifier behavior, measuring where detectors overfit, where they drift, and how phrasing changes alter probability scores across different engines.
Focus areas
Why this role matters
That research gives Truuly concrete material for benchmark pages, detector-report content, and customer education. It is also a direct E-E-A-T win because the public site can point to a named research owner instead of anonymous platform claims.