Research Interests
My current research focuses on providing methods by which medical institutions can protect patient privacy while providing data to affiliated third-party institutions for medical research. I also participate in work which seeks to develop a framework by which policymakers can assess risk levels for sharing particular datasets in order to more fully understand the risks involved in sharing.
My doctoral research work involved the use of social network data in order to determine methods of maintaining selective attribute privacy for individuals who use these networks while allowing data owners to perform classification tasks using only that data that individuals publish. Other work involves leveraging multi-core and distributed processing architectures to ensure that classification tasks on data that can be represented as a social graph are processed as accurately and efficiently as possible. Additional work examines the ability of semantic architectures to control access to resources on social networks in a time- and memory-efficient manner.
My doctoral research work involved the use of social network data in order to determine methods of maintaining selective attribute privacy for individuals who use these networks while allowing data owners to perform classification tasks using only that data that individuals publish. Other work involves leveraging multi-core and distributed processing architectures to ensure that classification tasks on data that can be represented as a social graph are processed as accurately and efficiently as possible. Additional work examines the ability of semantic architectures to control access to resources on social networks in a time- and memory-efficient manner.
Education
The University of Texas at Dallas
Richardson, Texas USA
Advisor: Murat Kantarcioglu
Richardson, Texas USA
Advisor: Murat Kantarcioglu
- Ph.D. in Computer Science
Awarded August 2011
Dissertation title: Privacy-preserving Social Network Analysis - M.S. in Computer Science
Awarded May 2010
Graduate Certificate in Information Assurance
Millsaps College
Jackson, Mississippi USA
Jackson, Mississippi USA
- MBA
Awarded May 2005
- B.S. in Computer Science
Awarded May 2004
Fellowships and Awards
National Science Foundation GK-12 Teaching Fellowship
Challenging Algorithmics and Mathematics in Problem Solving for Middle School Students (CHaMPS)
August 2008 - May 2010
Developed and taught introductory programming course for middle and junior high school students in the Richardson/North Dallas area using Alice programming tool kit.
Erik Jonsson Distinguished Research Fellowship
The University of Texas at Dallas
August 2006 - 2008
Challenging Algorithmics and Mathematics in Problem Solving for Middle School Students (CHaMPS)
August 2008 - May 2010
Developed and taught introductory programming course for middle and junior high school students in the Richardson/North Dallas area using Alice programming tool kit.
Erik Jonsson Distinguished Research Fellowship
The University of Texas at Dallas
August 2006 - 2008
Publications
In Press
SecureMA: Protecting participant privacy in genetic association meta-analysis. Wei Xie, Murat Kantarcioglu, Will Bush, Dana Crawford, Josh Denny, Raymond Heatherly, Brad Malin. Journal of Bioinformatics. 2014 Dec 1; 30(23)3334-41. doi:10.1093/bioinformatics/btu561
Size Matters: How population size influences genotype-phenotype association studies in anonymized data. Raymond Heatherly, Josh Denny, Jonathan Haines, Dan Roden, Brad Malin. Journal of Biomedical Informatics. 2014 Dec; 52 243-250. doi: 10.1016/j.jbi.2014.07.005
Enabling Genomic-Phenomic Association Discovery without Sacrificing Anonymity. Raymond Heatherly, Grigorios Loukides, Joshua C Denny, Jonathan Haines, Dan Roden, and Bradley Malin. PLOS ONE. doi: 10.1371/journal.pone.0053875
Efficient Discovery of De-identification Policies Through a Risk-Utility Frontier. Weiyi Xia, Raymond Heatherly, Xiaofeng Ding, Jiuyong Li, Bradley Malin. Proceedings of the third ACM conference on DAta and application security and privacy. ACM, 2013. doi: 10.1145/2435349.2435357
Preventing Private Information Inference Attacks on Social Networks. Raymond Heatherly, Murat Kantarcioglu, and Bhavani Thuraisingham. Knowledge and Data Engineering, IEEE Transactions on , vol.PP, no.99, pp.1, 0 doi: 10.1109/TKDE.2012.120
Extending the Classification of Nodes in Social Networks. Raymond Heatherly and Murat Kantarcioglu. IEEE International Conference on Intelligence and Security Informatics 2011.
Semantic Web-Based Social Network Access Control. Barbara Carminatti, Elena Ferrari, Raymond Heatherly, Murat Kantarcioglu, and Bhavani Thuraisinghaim. Computers and Security Journal, Volume 30, Issues 2-3, pp 108-115, (2011).
Automatic sanitization of social network data to prevent inference attacks. Raymond Heatherly, Murat Kantarcioglu. WWW (Companion Volume) 2011: 55-56
Social Network Classification Incorporating Link Type Values. Raymond Heatherly, Murat Kantarcioglu, Bhavani Thuraisinghaim. IEEE International Conference on Intelligence and Security Informatics 2009.
A Semantic Web based Framework for Social Network Access Control. Barbara Carminati, Elena Ferrari, Raymond Heatherly, Murat Kantarcioglu and Bhavani Thuraisingham. ACM SACMAT 2009
Inferring Private Information Using Social Network Data. Jack Lindamood, Raymond Heatherly, Murat Kantarcioglu, Bhavani M. Thuraisingham. World Wide Web 2009 poster paper.
Preventing Private Information Inference Attacks on Social Networks. Raymond Heatherly, Murat Kantarcioglu, Bhavani Thuraisingham, Jack Lindamood. UT Dallas Computer Science Department Technical Report, UTDCS-03-09.
SecureMA: Protecting participant privacy in genetic association meta-analysis. Wei Xie, Murat Kantarcioglu, Will Bush, Dana Crawford, Josh Denny, Raymond Heatherly, Brad Malin. Journal of Bioinformatics. 2014 Dec 1; 30(23)3334-41. doi:10.1093/bioinformatics/btu561
Size Matters: How population size influences genotype-phenotype association studies in anonymized data. Raymond Heatherly, Josh Denny, Jonathan Haines, Dan Roden, Brad Malin. Journal of Biomedical Informatics. 2014 Dec; 52 243-250. doi: 10.1016/j.jbi.2014.07.005
Enabling Genomic-Phenomic Association Discovery without Sacrificing Anonymity. Raymond Heatherly, Grigorios Loukides, Joshua C Denny, Jonathan Haines, Dan Roden, and Bradley Malin. PLOS ONE. doi: 10.1371/journal.pone.0053875
Efficient Discovery of De-identification Policies Through a Risk-Utility Frontier. Weiyi Xia, Raymond Heatherly, Xiaofeng Ding, Jiuyong Li, Bradley Malin. Proceedings of the third ACM conference on DAta and application security and privacy. ACM, 2013. doi: 10.1145/2435349.2435357
Preventing Private Information Inference Attacks on Social Networks. Raymond Heatherly, Murat Kantarcioglu, and Bhavani Thuraisingham. Knowledge and Data Engineering, IEEE Transactions on , vol.PP, no.99, pp.1, 0 doi: 10.1109/TKDE.2012.120
Extending the Classification of Nodes in Social Networks. Raymond Heatherly and Murat Kantarcioglu. IEEE International Conference on Intelligence and Security Informatics 2011.
Semantic Web-Based Social Network Access Control. Barbara Carminatti, Elena Ferrari, Raymond Heatherly, Murat Kantarcioglu, and Bhavani Thuraisinghaim. Computers and Security Journal, Volume 30, Issues 2-3, pp 108-115, (2011).
Automatic sanitization of social network data to prevent inference attacks. Raymond Heatherly, Murat Kantarcioglu. WWW (Companion Volume) 2011: 55-56
Social Network Classification Incorporating Link Type Values. Raymond Heatherly, Murat Kantarcioglu, Bhavani Thuraisinghaim. IEEE International Conference on Intelligence and Security Informatics 2009.
A Semantic Web based Framework for Social Network Access Control. Barbara Carminati, Elena Ferrari, Raymond Heatherly, Murat Kantarcioglu and Bhavani Thuraisingham. ACM SACMAT 2009
Inferring Private Information Using Social Network Data. Jack Lindamood, Raymond Heatherly, Murat Kantarcioglu, Bhavani M. Thuraisingham. World Wide Web 2009 poster paper.
Preventing Private Information Inference Attacks on Social Networks. Raymond Heatherly, Murat Kantarcioglu, Bhavani Thuraisingham, Jack Lindamood. UT Dallas Computer Science Department Technical Report, UTDCS-03-09.
Professional Appointments
Postdoctoral Researcher
Vanderbilt University
Department of Biomedical Informatics
August 2011 - Present
Primary focus: Privacy in secondary use of medical/clinical data.
Research Assistant
University of Texas at Dallas
Department of Computer Science
May 2010 - August 2011
Primary focus: Privacy in online social networks.
Teaching Assistant
University of Texas at Dallas
Department of Computer Science
August 2010 - May 2011
Courses: Introduction to Database Systems, Discrete Mathematics II
National Science Foundation GK12 Fellow
University of Texas at Dallas
Department of Computer Science
August 2008 - May 2010
Primary focus: Development of introductory programming materials for students at the level of 6th through 8th grade, with particular focus to increasing interest of minority and female students.
Erik Jonsson Distinguished Research Fellow
University of Texas at Dallas
Department of Computer Science
August 2006 - August 2008
Primary focus: Data mining and privacy in online social networks.
Student Computing Manager
Millsaps College
May 2004 - August 2006
Primary focus: Provide third-tier IT support for faculty, staff, and students. Provide daily management of student workers at first and second level of faculty, staff, and student support. Manage student support in academic computer labs.
Vanderbilt University
Department of Biomedical Informatics
August 2011 - Present
Primary focus: Privacy in secondary use of medical/clinical data.
Research Assistant
University of Texas at Dallas
Department of Computer Science
May 2010 - August 2011
Primary focus: Privacy in online social networks.
Teaching Assistant
University of Texas at Dallas
Department of Computer Science
August 2010 - May 2011
Courses: Introduction to Database Systems, Discrete Mathematics II
National Science Foundation GK12 Fellow
University of Texas at Dallas
Department of Computer Science
August 2008 - May 2010
Primary focus: Development of introductory programming materials for students at the level of 6th through 8th grade, with particular focus to increasing interest of minority and female students.
Erik Jonsson Distinguished Research Fellow
University of Texas at Dallas
Department of Computer Science
August 2006 - August 2008
Primary focus: Data mining and privacy in online social networks.
Student Computing Manager
Millsaps College
May 2004 - August 2006
Primary focus: Provide third-tier IT support for faculty, staff, and students. Provide daily management of student workers at first and second level of faculty, staff, and student support. Manage student support in academic computer labs.