Miguel Humberto Torres-Urquidy serves as a Senior Service Fellow at the Centers for Disease Control and Prevention (CDC), where he leverages his extensive expertise in biomedical informatics and data management to drive innovative solutions in public health. In his current role as Technical Steward for...
Miguel Humberto Torres-Urquidy serves as a Senior Service Fellow at the Centers for Disease Control and Prevention (CDC), where he leverages his extensive expertise in biomedical informatics and data management to drive innovative solutions in public health. In his current role as Technical Steward for the POD Assist and MERIS projects, Miguel has been instrumental in overseeing the technical implementation of critical national systems, particularly during the COVID-19 pandemic. His leadership in the cloud transition and data exchange initiatives, including the integration of immunization registries, has significantly enhanced the CDC's ability to manage and disseminate vital health information efficiently.
Miguel's multifaceted skill set encompasses informatics, data analysis, and epidemiology, enabling him to bridge the gap between clinical research and advanced technical solutions. He excels in program management, ensuring that projects not only meet quality standards but also adhere to stringent data security protocols. His ability to foster collaboration among clinicians, health scientists, and cloud architects has been pivotal in uniting diverse stakeholders towards common public health objectives.
Currently, Miguel is focused on optimizing the use of POD Assist for the workplace distribution of COVID-19 vaccines, a project that underscores his commitment to global health and community well-being. His work exemplifies the integration of biostatistics and genomics into practical applications, enhancing the CDC's response capabilities. As a versatile professional with a proven track record, Miguel continues to make significant contributions to the field of public health, driving forward initiatives that improve health outcomes across populations.
