Dr. Gichoya has built her career around one central mission: to use data science to advance health equity. As Co-Director of the Healthcare AI Innovation and Translational Informatics (HITI) Lab at Emory, she leads pioneering research into how datasets are created, how AI models behave in the real world, and how clinicians can guard against hidden bias.
Discovering the power of data
Dr. Gichoya’s path into the world of AI began far from the labs of Atlanta. Trained as a physician in Kenya during the height of the HIV epidemic, she witnessed firsthand how the lack of organized data hampered patient care. “People really needed to know who was dying, who was getting antiretrovirals—just the basics of how you provide care,” she recalled.
Technology, she quickly saw, could be a lifeline. Through an open-source medical records project supported by US teams, Dr. Gichoya was introduced to the potential of marrying computers and medicine. That early exposure set her on a course toward radiology, informatics, and, ultimately, AI research.
“I realized that technology could do a wonderful job at organizing data,” she said. “That was the spark.”
Lived experience and the question of bias
As a Black woman, an immigrant, and a physician, Dr. Gichoya brings a unique lens to questions of fairness in AI. When she first arrived in the United States, Dr. Gichoya said, she became acutely aware of race in ways that were unfamiliar to her in her home country. That experience—coupled with the social justice reckoning following the murder of George Floyd in Minneapolis in 2020 and the disproportionate toll of the COVID-19 pandemic on communities of color—deepened her resolve to investigate how bias manifests in AI.