Zeitlinger will work to develop and execute a long-term strategy to build world-class AI-powered computational expertise. She will head the steering committee that, together with Chief Information Officer Evelyn Travnik and Director of Scientific Data Jay Unruh, Ph.D., prioritizes and implements computational efforts across the organization. She also advises the Stowers Fellows program and the Graduate School to attract, support, and maintain computational talent at the Institute.

“Biology is incredibly complex, and AI is an excellent way to detect the underlying patterns and rules. A great example is the information encoded in our DNA, how it us used to create gene products like proteins, and how those gene products function to support life,” said Zeitlinger. “I am passionate about leading the Institute’s new initiative to promote AI in our scientific research. It is both an exciting challenge and a huge opportunity.”

A fundamental biological quest is to understand how variations within our genetic code and the molecules arising from it not only make us unique but can also underlie disease or disease susceptibility. AI’s predictive capabilities can guide targeted experimental approaches to identify how these variations impact gene regulation and protein function, key factors governing development, health, and disease.

“Many of our investigators including Zeitlinger and our Technology Center scientists are engaged in the pursuit of understanding how sequences within our DNA genetic blueprint control gene activity and how the shape of proteins affects their function,” said Stowers Scientific Director Kausik Si, Ph.D.

“Leveraging the power of AI will enable researchers Institute-wide to answer questions that remain some of the biggest biological mysteries for the benefit of all,” said Stowers President and Chief Scientific Officer Alejandro Sánchez Alvarado, Ph.D.