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Carl Kadie

 

Principal Research Software Design Engineer in the eScience at Microsoft Research. Also, an affiliate of the Machine Learning and Applied Statistics (MLAS) and Adaptive Systems and Interaction (ASI) groups.

E-mail: carlk@microsoft.com
Mail: One Microsoft Way, Redmond WA 98052-6399, USA

 


Contents


Development and Research Interests and Activities

  • Machine Learning and Artificial Intelligence
  • Bioinformatics and HIV Vaccine Design (e.g. Microsoft Computational Biology Tools)
  • Graphical Models and Bayesian Reasoning Systems (e.g. MSBNx)
  • Fighting Spam with Machine Learning
  • Collaborative Filtering
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Papers

Papers
Title Authors Published In Formats
HLA-specific polymorphisms in HIV-1 Gag and their association with viral load in chronic untreated infection
  • Z. Brumme
  • I. Tao
  • S. Szeto
  • C. Brumme
  • J.M. Carlson
  • D. Chan,
  • C. Kadie
  • N. Frahm
  • C. Brander
  • B.D. Walker
  • D. Heckerman
  • P.R. Harrigan
  • AIDS, 2008 (in press)  
    HLA Class-I Driven Evolution of Human Immunodeficiency Virus Type 1 Subtype C Proteome: Immune Escape and Viral Load
  • C.M. Rousseau
  • M.G. Daniels,
  • J.M. Carlson
  • C. Kadie,
  • H. Crawford,
  • A. Prendergast,
  • P. Matthews,
  • D.N. Raugi,
  • B.S. Maust
  • G.H. Learn
  • D.C. Nickle
  • N. Frahm,
  • C. Brander,
  • B.D. Walker
  • P.J.R. Goulder,
  • T. Bhattacharya,,
  • D.E. Heckerman,
  •  B.T. Korber,
  • J.I. Mullins
  • Journal of Virology, doi:10.1128/JVI.02455-07 Abstract
    Statistical resolution of ambiguous HLA typing data
  • J. Listgarten
  • Z.L. Brumme
  • C. Kadie
  • G. Xiaojiang
  • B. Walker
  • M. Carrington
  • P. Goulder
  • D. Heckerman
  •  
    PLoS Computational Biology, 2008, 4(2):e1000016 Abstract,  PDF
    A statistical framework for modeling HLA-dependent T-cell response data.
  • J. Listgarten
  • N. Frahm
  • C. Kadie
  • C. Brander
  • D. Heckerman
  • PLoS Computational Biology, 2007, 3(10):e188 Abstract,  PDF
    Extensive HLA class I allele promiscuity among viral CTL epitopes
  • N. Frahm
  • K. Yusim
  • T. Suscovich
  • S. Adams
  • J. Sidney
  • P. Hraber
  • H. Hewitt
  • Ca. Linde
  • D. Kavanagh
  • T. Woodberry
  • L. Henry
  • K. Faircloth
  • J. Listgarten
  • C. Kadie
  • N. Jojic
  • K. Sango
  • N. Brown
  • E. Pae
  • M. Zaman
  • F. Bihl
  • A. Khatri
  • M. John
  • S. Mallal
  • F. Marincola
  • B. Walker
  • A. Sette
  • D. Heckerman
  • B. Korber
  • C. Brander
  • European Journal of Immunology, 2007 37(9):2419-2433. Abstract
    Leveraging Information Across HLA Alleles/Supertypes Improves HLA-Specific Epitope Prediction
  • D. Heckerman
  • C.M. Kadie
  • J. Listgarten
  • Journal of Computational Biology. 2007, 14(6): 736-746. doi:10.1089/cmb.2007.R013. Abstract, PDF
    Leveraging hierarchical population structure in discrete association studies.
  • J.M. Carlson
  • C. Kadie
  • S. Mallal
  • D. Heckerman
  • PLoS One, 2(7):e591 (July 2007).
     
    Abstract, HTML, PDF
    Evidence of differential HLA class I-mediated viral evolution in functional and accessory/regulatory genes of Human Immunodeficiency Virus (HIV) type-1.
  • Z.L. Brumme
  • C.J. Brumme
  • D. Heckerman
  • B.T. Korber
  • M. Daniels
  • J.M. Carlson
  • C. Kadie
  • T. Bhattacharya
  • C. Chui
  • J. Szinger
  • T. Mo
  • R.S. Hogg
  • J.S.G. Montaner
  • N. Frahm
  • C. Brander
  • B.D. Walker
  • P.R. Harrigan
  • PLoS Pathogens, 3(7):e94 (July 2007). Abstract, HTML, PDF
    Founder effects in the assessment of HIV polymorphisms and HLA allele associations.
  • T. Bhattacharya
  • M. Daniels
  • D. Heckerman
  • B. Foley
  • N. Frahm
  • C. Kadie
  • J.M. Carlson
  • K. Yusim
  • B. McMahon
  • B. Gashen
  • S. Mallal
  • J. Mullins
  • D. Nickle
  • J. Herbeck
  • C. Rousseau
  • G. Learn
  • T. Miura
  • C. Brander
  • B. Walker
  • B. Korber
  • Science, 16 March 2007: Vol. 315. no. 5818 Abstract
    Estimate of the proportion of within-host sequence evolution in HIV-1 mediated by Human Leukocyte Antigen (HLA) class I selective pressures.
  • J. Carlson
  • CJ Brumme
  • C Kadie
  • M. Daniels
  • T. Bhattacharya
  • S. Mallal
  • B.D. Walker
  • P.R. Harrigan
  • B.T. Korber
  • D. Heckerman
  • Presentation and poster, Keystone Symposium: Molecular and Cellular Determinants of HIV Pathogenesis, March 2007.  
    Accumulation of HLA-class I-association CTL escape mutations in vivo during chronic infection is correlated with clinical markers of HIV-1 disease progression in a dose-dependent manner.
  • Z. Brumme
  • C. Brumme
  • C. Kadie
  • B. Korber
  • C. Daniels
  • T. Bhattacharya
  • J. Carlson
  • T. Mo
  • C. Chui
  • J. Montaner
  • B. Walker
  • D. Heckerman
  • P.R. Harrigan
  • Poster, Keystone Symposium: Molecular and Cellular Determinants of HIV Pathogenesis,
    March 2007.
     
    Presence of HLA class I-associated CTL escape mutations in chronic untreated HIV infection is significantly correlated with clinical markers of more severe disease progression.
  • Z. Brumme
  • C. Brumme
  • C. Kadie
  • J. Carlson
  • C. Chui
  • T. Mo
  • J. Montaner
  • B. Walker
  • D. Heckerman
  • P. Harrigan
  • Presentation, 14th Conference on Retroviruses and Opportunistic Infections (CROI), February 2007  
    Application of two bioinformatic methods to asses populational HIV evolution in response to HLA class-I mediated selection pressure reveals unprecedented levels of HLA-associated escape mutations across HIV nef.
  • C. Brumme
  • Z. Brumme
  • J. Carlson
  • C. Kadie
  • C. Chui
  • J. Montaner
  • B. Walker
  • P. Harrigan
  • D. Heckerman
  • Poster, 14th Conference on Retroviruses and Opportunistic Infections (CROI), February 2007.  
    Identifying the effects of human immune pressure on the evolution of HIV.
  • J. Carlson
  • C. Kadie
  • D. Heckerman
  • Presentation, NIPS workshop on computational biology, December 2006 Abstract
    Learning MHC I - peptide binding
  • N. Jojic
  • Manuel Reyes-Gomez
  • D. Heckerman
  • C.M. Kadie
  • Ora Schueler-Furman
  • Bioinformatics. Vol. 22, Number 14, 15 July 2006. Abstract, PDF
    Leveraging Information Across HLA Alleles/Supertypes Improves HLA-Specific Epitope Prediction
  • D. Heckerman
  • C.M. Kadie
  • J. Listgarten
  • Research in Computational Molecular Biology: 10th Annual International Conference (RECOMB 2006), Venice, Italy, April 2-5, 2006. Lecture Notes in Computer Science, Volume 3909, Mar 2006, Pages 296 - 308 PDF
    Leveraging Information Across HLA Alleles/Supertypes Improves HLA-Specific Epitope Prediction
  • D. Heckerman
  • C.M. Kadie
  • J. Listgarten
  • Microsoft Research Technical Report MSR-TR-2005-127, September, 2005. Abstract, PDF
    HLA-driven Optimization of an HIV Vaccine Immunogen
  • V. Jojic
  • D. Heckerman
  • C.M. Kadie
  • C. Meek
  • M. John
  • S. Mallal
  • Presentation at the 12th Conference on Retroviruses and Opportunistic Infections, Boston,  February 2005 Abstract, PDF
    Models of Attention in Computing and Communication: From Principles to Application
  • E. Horvitz
  • C.M. Kadie
  • T. Paek
  • D. Hovel
  • Communications of the ACM 46, 3 (March 2003), pp 52-59. PDF
    CFW: A Collaborative Filtering System Using Posteriors Over Weights of Evidence
  • C.M. Kadie
  • C. Meek
  • D. Heckerman
  • Proceedings of the Eighteenth Conference on Uncertainty in Artificial Intelligence, Edmonton, Alberta, August, 2002. Abstract, PDF,
    PS
    Coordinate: Probabilistic Forecasting of Presence and Availability
  • E. Horvitz
  • P. Koch
  • C.M. Kadie
  • A. Jacobs
  • Proceedings of the Eighteenth Conference on Uncertainty in Artificial Intelligence, Edmonton, Alberta, August, 2002. Abstract, PDF
    CFW: A Collaborative Filtering System Using Posteriors Over Weights of EvidenceNew Page 1
  • C.M. Kadie
  • C. Meek
  • D. Heckerman
  • Microsoft Research Technical Report MSR-TR-2002-46, March 2002. Abstract,
    PS
    MSBNx: A Component-Centric Toolkit for Modeling and Inference with Bayesian Networks
  • C.M. Kadie
  • D. Hovel
  • E. Horvitz
  • Microsoft Research Technical Report MSR-TR-2001-67, July 2001. Abstract,
    Word,
    PDF
    Dependency Networks for Density Estimation, Collaborative Filtering, and Data Visualization
  • D. Heckerman
  • D. Chickering
  • C. Meek
  • R. Rounthwaite
  • C.M. Kadie
  • Journal of Machine Learning Research, Volume 1, October 2000, pp. 49-75.  Abstract, PDF, PS, HTML
    Dependency Networks for Density Estimation, Collaborative Filtering, and Data Visualization
  • D. Heckerman
  • D. Chickering
  • C. Meek
  • R. Rounthwaite
  • C.M. Kadie
  • Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence, Stanford, CA, July, 2002.  Abstract, PDF
    Dependency Networks for Density Estimation, Collaborative Filtering, and Data Visualization.
  • D. Heckerman
  • D. Chickering
  • C. Meek
  • R. Rounthwaite
  • C.M. Kadie
  • Technical Report MSR-TR-00-16, Microsoft Research, February, 2000. Abstract,
    PDF
    Empirical Analysis of Predictive Algorithms for Collaborative Filtering
  • J. Breese
  • D. Heckerman
  • C.M. Kadie
  • Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, Madison, WI, July, 1998. Abstract, PS
    Empirical Analysis of Predictive Algorithms for Collaborative Filtering
  • J. Breese
  • D. Heckerman
  • C.M. Kadie
  • Technical Report MSR-TR-98-12, Microsoft Research, Redmond, WA, May, 1998. Abstract, PS
    Applying Library Intellectual Freedom Principles to Public and Academic Computers
  • C.M. Kadie
  • In Computerization and Controversy: Value, Conflict, and Social Choices, 2nd Edition, edited by R. Kling, Academic Press, San Diego (1996).  
    Computers and Academic Freedom News: List of Banned Computer Material on College Campuses
  • C.M. Kadie
  • In Conceptual Issues on the Electronic Frontier, edited by Peter Ludlow, MIT Press, Cambridge, Massachusetts (1996). Text
    Seer: Maximum Likelihood Regression for Learning-Speed Curves
  • C.M. Kadie
  • Technical Report UIUCDCS-R-95-1874, Department of Computer Science, University of Illinois, Urbana, IL, August 1995. Ph.D. Thesis. PDF, Abstract, PS, HTML
    Robot-Building Lab and Contest and the 1993 National AI Conference
  • C.M. Kadie
  • AI Magazine, 14:4, Winter 1993. Abstract, PDF, HTML
    Continuous Conceptual Set Covering: Learning Robot Operators from Examples
  • C.M. Kadie
  • Proceedings of the Eighth International Conference on Machine Learning, Evanston, Illinois, 1991. Abstract, PS
    Quantifying the Value of Constructive Induction, Knowledge, and Noise Filtering on Inductive Learning
  • C.M. Kadie
  • Proceedings of the Eighth International Conference on Machine Learning, Evanston, Illinois, 1991. Abstract, PS
    Book Review of R.C. Johnson and C. Brown's Cognizers: Neural Networks and Machines that Think
  • C.M. Kadie
  • Artificial Intelligence Review, 4:4, 1990. Abstract, PS
    Conceptual Set Covering: Improving Fit-and-Split Algorithms
  • C.M. Kadie
  • Proceedings of the Seventh International Conference on Machine Learning, Austin, Texas, June 1990. Abstract, PS
    Diffy-S: Learning Robot Operators from Examples of Operator Effects
  • C.M. Kadie
  • Technical Report UIUCDCS-R-89-1550, Department of Computer Science, University of Illinois, Urbana, IL, October 1989. Master's Thesis. Abstract, PS
    Rational Nonmonotonic Reasoning
  • C.M. Kadie
  • Proceedings of the Fourth Workshop on Uncertainty in Artificial Intelligence, Minneapolis, August 1988. Abstract, PS
    Diffy-S: Learning Robot Operator Schemata From Examples,
  • C.M. Kadie
  • Proceedings of the Fifth International Conference on Machine Learning, Ann Arbor, Michigan, June 1988.  
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    Presentations and Interviews

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    Background

    Bachelor's, master's and doctoral degrees in Computer Science from the University of Illinois, Urbana-Champaign

    19 patents and 30 published patent applications.

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    Last updated

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