Introduction to the special issue on information theory in molecular biology and neuroscience

Olgica Milenkovic; Gil Alterovitz; Gerard Battail; Todd P. Coleman; Joachim Hagenauer; Sean P. Meyn; Nathan Price; Marco F. Ramoni; Ilya Shmulevich; Wojciech Szpankowski

doi:10.1109/TIT.2009.2036971

Introduction to the special issue on information theory in molecular biology and neuroscience

Olgica Milenkovic, Gil Alterovitz, Gerard Battail, Todd P. Coleman, Joachim Hagenauer, Sean P. Meyn, Nathan Price, Marco F. Ramoni, Ilya Shmulevich, Wojciech Szpankowski

Research output: Contribution to journal › Editorial › peer-review

Original language	English (US)
Article number	5420293
Pages (from-to)	649-652
Number of pages	4
Journal	IEEE Transactions on Information Theory
Volume	56
Issue number	2
DOIs	https://doi.org/10.1109/TIT.2009.2036971
State	Published - Feb 2010

ASJC Scopus subject areas

Information Systems
Computer Science Applications
Library and Information Sciences

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10.1109/TIT.2009.2036971

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@article{2ac89e87f92d4fc9a7f1a805186f0c29,

title = "Introduction to the special issue on information theory in molecular biology and neuroscience",

author = "Olgica Milenkovic and Gil Alterovitz and Gerard Battail and Coleman, {Todd P.} and Joachim Hagenauer and Meyn, {Sean P.} and Nathan Price and Ramoni, {Marco F.} and Ilya Shmulevich and Wojciech Szpankowski",

note = "Funding Information: Todd P. Coleman (S{\textquoteright}01–M{\textquoteright}05) received the B.S. degrees in electrical engineering (summa cum laude), as well as computer engineering (summa cum laude) from the University of Michigan, Ann Arbor, in 2000, along with the M.S. and Ph.D. degrees in electrical engineering from the Massachusetts Institute of Technology (MIT), Cambridge, in 2002, and 2005. During the 2005–2006 academic year, he was a Postdoctoral Scholar at MIT{\textquoteright}s Department of Brain and Cognitive Sciences and Massachusetts General Hospital{\textquoteright}s Neuroscience Statistics Research Laboratory in computational neuroscience. Since fall 2006, he has been on the faculty in the Electrical and Computer Engineering Department and Neuroscience Program at the University of Illinois-Urbana Champaign. His research interests include information theory of timing channels in computer and neural systems; the intersection between statistics and information theory; and theoretical and practical advances in decentralized control and feedback information theory to design high-performance brain-machine interfaces. Dr. Coleman is a National Science Foundation Graduate Research Fellowship recipient, was awarded the University of Michigan College of Engineering Hugh Rumler Senior Class Prize in 1999 and was awarded the MIT EECS Departments Morris J. Levin Award for Best Masterworks Oral Thesis Presentation in 2002. Beginning Fall 2009, Coleman has served as a co-Principle Investigator on an NSF IGERT interdisciplinary training grant for graduate students, titled “Neuro-engineering: A Unified Educational Program for Systems Engineering and Neuroscience”. He also has been selected to serve on the DARPA ISAT study group for a three-year term from 2009 to 2012. Funding Information: Sean P. Meyn (S{\textquoteright}85–M{\textquoteright}87–SM{\textquoteright}95–F{\textquoteright}02) received the B.A. degree in mathematics (summa cum laude) from the University of California, Los Angeles (UCLA), in 1982 and the Ph.D. degree in electrical engineering from McGill University, Canada, in 1987 (with Prof. P. Caines, McGill University). After a two-year Postdoctoral Fellowship at the Australian National University in Canberra, Australia, he moved to the Midwest, where he is now a Professor in the Department of Electrical and Computer Engineering, and a Research Professor in the Coordinated Science Laboratory at the University of Illinois-Urbana Champaign. He is coauthor with Richard Tweedie of the monograph Markov Chains and Stochastic Stability (Springer-Verlag, 1993). His new book, Control Techniques for Complex Networks (Cambridge University Press). He has held visiting positions at universities all over the world, including the Indian Institute of Science, Bangalore during 1997–1998 where he was a Fulbright Research Scholar. During his latest sabbatical during the 2006–2007 academic year, he was a visiting professor at MIT and United Technologies Research Center (UTRC). His research interests include stochastic processes, optimization, complex networks, and information theory. His is currently funded by NSF, Motorola, DARPA, and UTRC. Dr. Meyn received jointly with Tweedie the 1994 ORSA/TIMS Best Publication In Applied Probability Award. The 2009 edition is published in the Cambridge Mathematical Library. Funding Information: Nathan Price (M{\textquoteright}09) received the Ph.D. degree in bioengineering from University of California, San Diego (UCSD), where he coauthored 20 journal ar-ticles on the analysis of genome-scale biomolecular networks under the mentorship of Bernhard Palsson. He is an Assistant Professor in the Department of Chemical and Biomolecular Engineering, Institute for Genomic Biology, and Center for Biophysics and Computational Biology at the University of Illinois, Urbana-Champaign. He then worked on systems approaches to medicine under the guidance of Lee Hood at the Institute for Systems Biology, funded by a fellowship from the American Cancer Society. Dr. Price was featured in Genome Technology{\textquoteright}s initial naming of “To-morrow{\textquoteright}s PIs,” received the Howard Temin Pathway to Independence Award in Cancer Research from the NIH, and an NSF CAREER award focused on genome-scale systems and synthetic biology for bioenergy applications. He is an Associate Editor for PLoS Computational Biology and BMC Systems Biology, and a member of the Scientific Advisory Board of TetraVitae Bioscience.",

year = "2010",

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doi = "10.1109/TIT.2009.2036971",

language = "English (US)",

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pages = "649--652",

journal = "IEEE Transactions on Information Theory",

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T1 - Introduction to the special issue on information theory in molecular biology and neuroscience

AU - Milenkovic, Olgica

AU - Alterovitz, Gil

AU - Battail, Gerard

AU - Coleman, Todd P.

AU - Hagenauer, Joachim

AU - Meyn, Sean P.

AU - Price, Nathan

AU - Ramoni, Marco F.

AU - Shmulevich, Ilya

AU - Szpankowski, Wojciech

N1 - Funding Information: Todd P. Coleman (S’01–M’05) received the B.S. degrees in electrical engineering (summa cum laude), as well as computer engineering (summa cum laude) from the University of Michigan, Ann Arbor, in 2000, along with the M.S. and Ph.D. degrees in electrical engineering from the Massachusetts Institute of Technology (MIT), Cambridge, in 2002, and 2005. During the 2005–2006 academic year, he was a Postdoctoral Scholar at MIT’s Department of Brain and Cognitive Sciences and Massachusetts General Hospital’s Neuroscience Statistics Research Laboratory in computational neuroscience. Since fall 2006, he has been on the faculty in the Electrical and Computer Engineering Department and Neuroscience Program at the University of Illinois-Urbana Champaign. His research interests include information theory of timing channels in computer and neural systems; the intersection between statistics and information theory; and theoretical and practical advances in decentralized control and feedback information theory to design high-performance brain-machine interfaces. Dr. Coleman is a National Science Foundation Graduate Research Fellowship recipient, was awarded the University of Michigan College of Engineering Hugh Rumler Senior Class Prize in 1999 and was awarded the MIT EECS Departments Morris J. Levin Award for Best Masterworks Oral Thesis Presentation in 2002. Beginning Fall 2009, Coleman has served as a co-Principle Investigator on an NSF IGERT interdisciplinary training grant for graduate students, titled “Neuro-engineering: A Unified Educational Program for Systems Engineering and Neuroscience”. He also has been selected to serve on the DARPA ISAT study group for a three-year term from 2009 to 2012. Funding Information: Sean P. Meyn (S’85–M’87–SM’95–F’02) received the B.A. degree in mathematics (summa cum laude) from the University of California, Los Angeles (UCLA), in 1982 and the Ph.D. degree in electrical engineering from McGill University, Canada, in 1987 (with Prof. P. Caines, McGill University). After a two-year Postdoctoral Fellowship at the Australian National University in Canberra, Australia, he moved to the Midwest, where he is now a Professor in the Department of Electrical and Computer Engineering, and a Research Professor in the Coordinated Science Laboratory at the University of Illinois-Urbana Champaign. He is coauthor with Richard Tweedie of the monograph Markov Chains and Stochastic Stability (Springer-Verlag, 1993). His new book, Control Techniques for Complex Networks (Cambridge University Press). He has held visiting positions at universities all over the world, including the Indian Institute of Science, Bangalore during 1997–1998 where he was a Fulbright Research Scholar. During his latest sabbatical during the 2006–2007 academic year, he was a visiting professor at MIT and United Technologies Research Center (UTRC). His research interests include stochastic processes, optimization, complex networks, and information theory. His is currently funded by NSF, Motorola, DARPA, and UTRC. Dr. Meyn received jointly with Tweedie the 1994 ORSA/TIMS Best Publication In Applied Probability Award. The 2009 edition is published in the Cambridge Mathematical Library. Funding Information: Nathan Price (M’09) received the Ph.D. degree in bioengineering from University of California, San Diego (UCSD), where he coauthored 20 journal ar-ticles on the analysis of genome-scale biomolecular networks under the mentorship of Bernhard Palsson. He is an Assistant Professor in the Department of Chemical and Biomolecular Engineering, Institute for Genomic Biology, and Center for Biophysics and Computational Biology at the University of Illinois, Urbana-Champaign. He then worked on systems approaches to medicine under the guidance of Lee Hood at the Institute for Systems Biology, funded by a fellowship from the American Cancer Society. Dr. Price was featured in Genome Technology’s initial naming of “To-morrow’s PIs,” received the Howard Temin Pathway to Independence Award in Cancer Research from the NIH, and an NSF CAREER award focused on genome-scale systems and synthetic biology for bioenergy applications. He is an Associate Editor for PLoS Computational Biology and BMC Systems Biology, and a member of the Scientific Advisory Board of TetraVitae Bioscience.

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Introduction to the special issue on information theory in molecular biology and neuroscience

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