Computing That Serves

An Asynchronous Circuit Model of the Lambda Virus


Thursday, December 2, 2004 - 10:12am


Chris J. Myers, University of Utah

With the sequencing of the human genome and the genomes of other organisms, we now have a list of the parts that make up these biological systems.  Through the use of micro arrays and other new technologies, we are also beginning to get data on the functions of individual genes and how genes interact with each other to perform complex biological functions. In the functional genomic era, we will begin to take this vast amount of data, and try to reason about how these genetic systems work.  To accomplish this, a systems biology perspective will need to be taken in which models and new, efficient analysis techniques must be developed to reason about these genetic networks. Engineers have vast experience in modeling and analyzing electronic circuits and systems.  There are many similarities between genetic networks and electronic circuits.  This talk will describe a model of the Phage Lambda virus using a stochastic asynchronous circuit.  A stochastic model appears to be essential since in this system, like many others, the survival strategy taken by this virus has a random component which may be key in the evolutionary survival of the organism.


Chris J. Myers received the B.S. degree in electrical engineering and Chinese history in 1991 from the California Institute of Technology, Pasadena, CA, and the M.S.E.E. and Ph.D. degrees from StanfordUniversity, Stanford, CA, in 1993 and 1995, respectively. He is an Associate Professor in the Department of Electrical and Computer Engineering, University of Utah, Salt Lake City, UT. Dr. Myers is the author of over 50 technical papers and the textbook Asynchronous Circuit Design.  He is also a co-inventor on 4 patents.  His current research interests are algorithms for the computer-aided analysis and design of real-time concurrent systems, analog error control decoders, formal verification, asynchronous circuit design, and modeling of biological networks.

Dr. Myers received an NSF Fellowship in 1991, an NSF CAREER award in 1996, and a best paper award at Async99.