Keynote 2: Systems for Precision Health

Speaker: Reetuparna Das (University of Michigan)

Abstract:

Precision health can transform medicine over the next few decades. We can detect cancer several years earlier through simple blood tests, without invasive biopsies. We can tailor treatment plans based on mutations in a cancer cell. We can detect rare genetic disorders, assess disease risks, and intervene early. We can identify infectious pathogens early enough to prevent pandemics and avoid indiscriminate use of broad-spectrum antibiotics. Better drugs could be discovered by understanding the biological mechanisms of complex diseases such as Alzheimer’s. This talk will take a deeper look at computing applications that drive precision health and discuss systems challenges.

Bio:

Reetu Das is an Associate Professor at the University of Michigan. Prior to this, she was a research scientist at Intel Labs, and the researcher-in-residence for the Center for Future Architectures Research. She received her Ph.D. in Computer Science and Engineering from Pennsylvania StateUniversity, University Park. Some of her recent projects include in-memory architectures, custom computing for precision health and AI, fine-grain heterogeneous core architectures for mobile systems, and low-power scalable interconnects for kilo-core processors. She has authored over 45 papers, filed 7 patents, served on over 30 technical program committees, and served as program co-chair for a flagship computer architecture conference, MICRO-52. She has received two IEEE Top Picks awards, an NSF CAREER award, CRA-W's Borg Early Career Award, Intel Outstanding Researcher Award, and Sloan Foundation Fellowship. Prof. Das has been inducted into IEEE/ACM MICRO and ISCA Hall of Fame.




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