Ehud Shapiro ( Hebrew: אהוד שפירא; born 1955) is an Israeli computer scientist at the Weizmann Institute of Science. He received his Ph.D from [1 ] Yale for his dissertation entitled "Algorithmic Program Debugging" which was an ACM distinguished dissertation for 1982. He has been an exponent of the [2 ] Prolog computer language and [3 ] logic programming in general. In recent years, he has worked on developing a DNA-based computer. His research group produced one capable of diagnosing [4 ] cancer in cells and releasing drug molecules in response. In the 2004 " 50", he was named Research Leader in Nanotechnology. Scientific American In 2007, he led a team in his lab in the Biological Chemistry, and Computer Sciences and Applied Mathematics Departments at the [5 ] Weizmann Institute of Science that developed a new disease model to explain the progression of Huntington's Disease and similar trinucleotide repeat disorders. The team's computer simulations accurately predict age of onset and the way the disease will progress in an individual, based on the number of repeats of a genetic mutation. [6 ]
He has worked at the
Weizmann Institute of Science in Rehovot, Israel since 1982.
References [ edit ]
^ http://www.wisdom.weizmann.ac.il/~udi/ Ehud Shapiro at the Weizmann Institute
^ Shapiro, Ehud Y. (1983). Algorithmic program debugging. Cambridge, Mass: MIT Press. ISBN 0-262-19218-7.
^ Shapiro, Ehud Y.; Sterling, Leon (1994). The Art of Prolog: advanced programming techniques. Cambridge, Mass: MIT Press. ISBN 0-262-69163-9.
^ Benenson, Y.; Paz-Elizur, T.; Adar, R.; Keinan, E.; Livneh, Z.; Shapiro, E. (2001). "Programmable and autonomous computing machine made of biomolecules". Nature 414 (6862): 430–434. doi: 10.1038/35106533. PMID 11719800.
^ "The 2004 Scientific American 50 Award: Research Leaders". Scientific American. 2004-11-11 . Retrieved 2007-03-26.
^ News Release, Weizmann Institute of Science, "Scientists at the Weizmann Institute, using computer simulations, have provided an explanation as to why certain genetic diseases caused by repeats in the code are “genetic time-bombs” whose onset and progression can be accurately predicted," November 21, 2007, at http://22.214.171.124/site/en/weizman.asp?pi=371&doc_id=5042. Retrieved on 2007-12-30.