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.[3][12]
At MIT, 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.[12][13]
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.[3][14]
Awards and honours
Bar-Joseph has been awarded the DIMACS-Celera Genomics Graduate Student Award in Computational Molecular Biology and the NSF CAREER award.[15] He was awarded the ISCB Overton Prize in 2012 in recognition of his significant and lasting impact in computational biology.[16]
Bar-Joseph is a keen runner and has run several sub-3 hour marathons.[3][12][16] He lives in Pittsburgh and Shoham with his wife and three children.[12]
^ abcBar-Joseph, Ziv (2003). Inferring interactions, expression programs and regulatory networks from high throughput biological data (PhD thesis). Massachusetts Institute of Technology. hdl:1721.1/28289.
^Bar-Joseph, Z.; El-Yaniv, R.; Lischinski, D.; Werman, M. (2001). "Texture mixing and texture movie synthesis using statistical learning". IEEE Transactions on Visualization and Computer Graphics. 7 (2): 120. doi:10.1109/2945.928165.
^Bar-Joseph, Z.; Gerber, G. K.; Lee, T. I.; Rinaldi, N. J.; Yoo, J. Y.; Robert, F. O.; Gordon, D. B.; Fraenkel, E.; Jaakkola, T. S.; Young, R. A.; Gifford, D. K. (2003). "Computational discovery of gene modules and regulatory networks". Nature Biotechnology. 21 (11): 1337–42. doi:10.1038/nbt890. PMID14555958. S2CID6210576.
