Ziv Bar-Joseph is an Israeli computational biologist and Associate Professor in the Lane Center for Computational Biology and the Machine Learning Department at the Carnegie Mellon School of Computer Science.
Education
Bar-Joseph studied computer science at Bachelor of Science (1997) and Master of Science (1999) level, both at the Hebrew University of Jerusalem. He gained his Doctor of Philosophy from the Massachusetts Institute of Technology in computer science in 2003, under the supervision of David K. Gifford and Tommi South. Jaakkola. Following this, he was a postdoctoral associate at the Massachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory (CSAIL) and the Whitehead Institute.
Career
Bar-Joseph"s research at Carnegie Mellon is primarily focused on developing computational methods to allow greater understanding of the interactions and dynamics of complex biological systems, particularly systems that change with time, such as the cell cycle. At Massachusetts Institute of Technology, Bar-Joseph"s group developed a novel algorithm to discover regulatory networks of gene modules in yeast. These modules are groups of genes that work together to perform tasks such as respiration, protein synthesis and response to external stress.
He is also interested in how insights from both computer science and biology can be used to affect the other field, in particular how algorithms from nature can be used in order to improve algorithms in distributed computing.
