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PhD in Cognitive Science with a focus on algorithmic bias. Leading the research on fair evaluation at FairMatch AI.
In a world where talent is universal but opportunity is not, the traditional resume has become a gatekeeper rather than a gateway.
Research consistently shows that resumes with names perceived as "minority" receive significantly fewer callbacks than identical resumes with "majority-sounding" names. This isn't just a moral failure; it's an economic one. Companies are missing out on the best talent because of unconscious bias.
FairMatch.ai removes demographic signals—names, photos, graduation years, and even school names—before the evaluation phase.
The future of hiring isn't in better resumes; it's in removing the resume entirely and focusing on what you can actually do.