The development of new bio-technologies that probe previously unexplored aspects of biological systems has changed the world of biological research radically within the last 10 years. The nature of the data of this rapidly changing biology has created a fertile ground for quantitative scientists. Issues of appropriate strategies for search, what to search for, and how to turn massive quantities of biological data into useful knowledge have moved to the forefront. Contributions from diverse areas such as combinatorics, graph and network theory, differential equations, machine learning, data mining, statistics and statistical physics have been used to create more powerful information search and knowledge management.
This interesting blend of fields has created a tower of Babel out of which a communication currency has yet to emerge. This workshop is intended as a convergence of quantitatively oriented researchers addressing these issues in their quest to answer important biological questions. This workshop will provide an opportunity for researchers with quite different perspectives and interests to listen to each other in an atmosphere that will allow us to cross-fertilize ideas and open our minds to the ways other quantitative researchers are thinking about other biological problems.
Yuval Kluger, Chair
(New York University)
Xiaole Liu (Dana-Farber Cancer Institute, Biostatistics)
Itsik Pe'er (Columbia University, Computer Science)
Gustavo Stolovitzky (IBM Thomas J. Watson Research Center, IBM Computational Biology Center)
Olga Troyanskaya (Princeton University)