Computational Health

Congratulations to UC Noyce Initiative researcher Brittany Dugger, Ph.D. for being named one of the 2024 Chancellor's Fellows for UC Davis. Dugger was one of nine early career academics who were given this title in recognition of doing exemplary work.

“These outstanding faculty members are some of our brightest and most promising scholars,” UC Davis Chancellor Gary S. May said. “I know they will continue to impress and shine a light on the groundbreaking work happening here at UC Davis. I expect this recognition and support will help propel them to even greater heights.”

UC Noyce Initiative researcher Yoshimi Fukuoka, Ph.D., R.N., F.A.A.N, was recently (Jan 26) named one of UC San Francisco's "24 People to Watch in 2024."

Among the many accomplishments UC Noyce Initiative researchers realized in 2023, UC Noyce Initiative research Ziad Obermeyer was name among one of the top 100 leaders in artificial intelligence by TIME.

As a child, Bin Yu never dreamed she’d go to college. She grew up in China during the Cultural Revolution, when nearly all of the country’s institutions of higher learning were closed. But in third grade, a cousin gave Yu a math book. She fell in love with the structured way of thinking and the concrete answers found in the textbook.

Emerging speech neuroprostheses may offer a way to communicate for people who are unable to speak due to paralysis or disease, but fast, high-performance decoding has not yet been demonstrated. Now, transformative new work by researchers at UCSF and UC Berkeley shows that more natural speech decoding is possible using the latest advances in artificial intelligence.

ChatGPT. Alexa and Siri. Self-driving vehicles. It may seem that artificial intelligence (AI) is everywhere – and that’s because it is. 
 

When (UC Noyce Initiative researcher) Ziad Obermeyer was a resident in an emergency medicine program, he found himself lying awake at night worrying about the complex elements of patient diagnoses that physicians could miss. He subsequently found his way to data science and research and has since coauthored numerous papers on algorithmic bias and the use of AI and machine learning in predictive analytics in health care.