Algorithms for analysis of data from high-throughput genomics and proteomics technologies.
The objective of this assignment is to develop algorithms for analysis of 3D shapes using high-level 3D representations.
He earned his B.S. in mathematics from the California Institute of Technology and Ph.D. in applied mathematics from MIT, where he worked with Professor Bonnie Berger on algorithms for analysis of large genomic data sets.
Besides many foreseen developments mentioned in 2001 as open problems, important new developments took place as general algorithms for analysis of periodic descriptor systems, solution of periodic Riccati equations, or computational methods for continuous-time periodic systems.
It would stimulate discovery of new tools and algorithms for analysis of data, encourage invention of new ways to present and display data in ways more easily or intuitively meaningful to humans (like the Circos maps of genomics that interpret many different whole genome changes).
Partly the cause is vastly improved technology: We have new tools to collect massive amounts of data, ever-expanding storage capability, and much faster computers along with more sophisticated algorithms for analysis.
