2021 Built an algorithm that could detect COVID-19 via forced cough recordings; spoke at IBM’s Cascon x Evoke Conference

2022 Best Paper Award at IEEE Global Humanitarian Technology Conference (GHTC); Future Fund’s Regranting Program Grantee ($30K); 1517 Fund Grantee; Inflection Grants Grantee; Villars Fellow (backed by World Economic Forum); spoke at The Global Health Leaders Conference at Johns Hopkins University (The GHLC at JHU), IBM’s Weavesphere Conference, Toronto’s Elevate Festival, and IEEE Global Humanitarian Technology Conference (GHTC)

Frugal diagnostics fascinates me. In September 2021, I began LungTech, a project building an AI algorithm that can detect lung diseases through cough recordings. Collaborating with an MIT research scientist, I built a prototype with 75% accuracy. After partnering with the OKB Hope Foundation, I’m now collecting tuberculosis and pneumonia cough recordings at the Konfo Anokye Teaching Hospital in Ghana, and this data will be used to expand the current model.

In February 2022, I began Helio, a project designing a low-cost electrochemical micronutrient biosensor. After securing a $30K grant, I began building a proof of concept of the biosensor with an MIT instructor. I am using the facilities at BOSLab and MIT’s Biomarker Space.

With the Masason Foundation’s support, for Lungtech, I hope to field-test the improved AI model and work to implement it at OKB’s clinics. For Helio, I hope to create a multiplex assay that can detect more micronutrients.