To provide quality care for all, biomedical engineers must develop effective and equitable medical solutions. Recent work from our team showed that typical EEG systems, the standard of care for neurological monitoring (e.g., epilepsy), do not work well for individuals with the coarse, dense, and curly hair common in the Black population [Etienne et al., IEEE EMBC’20; 6151-6154]. With more than 1 billion individuals of African descent across the globe, this not only compromises care for a significant portion of the population, but also excludes these groups from basic neuroscience research studies. Our team developed the first solution to this problem by creating Sèvo Systems, a simple yet effective set of devices that leverage the strength of braided hair to improve scalp contact during brain recordings in individuals with coarse, dense, and curly hair. We demonstrated, in a lab setting, that Sèvo lowers electrode-to-scalp impedance compared to standard electrodes tenfold. In this talk, I will describe the Sèvo system and outline our ongoing assessments of its effectiveness in both research and clinical settings. Our work is the first step towards mitigating phenotypic biases embedded in this popular technology that may lead to misdiagnosis in the clinic and misunderstanding of brain science in research settings. I will also briefly speak about other examples of phenotypic bias in neurotechnologies that we are seeking to improve at Carnegie Mellon. Finally, I will outline ways that budding biomedical engineers can join the cause of creating ethical devices.