Thursday, March 28, 2013
TIME: Noon - 1:00 pm
PLACE: CIC 4th Floor - ISTC Panther Hollow Conference Room
SPEAKER: Paolo Narvaez,
TITLE: The Future of Personalized Cancer Treatment: Towards Energy-Efficient
In this talk we will explore the promises and computational challenges facing future genomics applications. We will show some of the current techniques being used today and the work being done at optimizing the computation.
Over the last decade, the cost of genome sequencing has decreased much faster than Moore’s law, opening up vast amounts of patient genomics information at a reasonable cost. This information has the potential of revolutionizing medical practices by treating each individual patient based on their genetic makeup. In the field of cancer, detailed analysis of DNA and RNA patient data may lead to personalized drug treatments targeted only for that specific individual and cancer subtype.
The challenge today to implement this vision is the vast size and complexity of the data being collected and the difficulty at inferring models from this data. A simple single-person genome alignment may take weeks of computational work. Population-based studies involving statistically-relevant numbers of patients may require prohibitive amounts of computational resources.
Paolo Narvaez is a Principal Engineer at Intel's Data Center and Connected Systems Group. He is currently investigating future data center architectures for emerging workloads, such as big-data analytics and genomics. Prior to working at Intel, Paolo was at Bell Labs, working on a number of data networking technologies in the space of routing and next-generation wireless. Prior to Bell Labs, he was a Principal Architect at RMI (acquired by Broadcom) leading the design of silicon for network processors and data center switches. Paolo has an S.B., M.Eng., and Ph.D. degrees in Electrical Engineering from the Massachusetts Institute of Technology.
HOST: Michael Kozuch, Intel, ISTC-CC
SDI / ISTC SEMINAR QUESTIONS?
Karen Lindenfelser, 86716, or visit www.pdl.cmu.edu/SDI/