Joseph Reisinger
joeraii@cs.utexas.edu
http://www.cs.utexas.edu/~joeraii
Education

08/05 - 05/10
Pursuing a PhD in Computer Sciences (Machine Learning); Expected graduation: May 2012
The University of Texas at Austin. Advisor: Ray Mooney.
Thesis: Latent variable models of distributional lexical semantics

12/07
Masters of Science in Computer Sciences
The University of Texas at Austin. Game theory minor sequence.

05/04
Bachelors of Science in Computer Sciences (with honors)
Bachelors of Science in Mathematics (with honors)
The University of Texas at Austin. 3.9 GPA. Computer Sciences Departmental Honors. Minor in Japanese.
Thesis: Modular Reuse and Problem Decomposition with Neuro-Evolution
Selected Professional Experience

10/10 -
Metamarkets Group
Cofounder and Chief Scientist at Metamarkets, a scalable business intelligence and analytics platform. Clients include Financial Times, Demand Media and Mopub.

07/10 - 10/10
06/08 - 11/08
06/07 - 08/07
Google Research / NLP
Developed a nonparametric Bayesian approach for modeling shallow query semantics and for instrumenting WordNet with automatically extracted attributes.

05/09 - 10/09
Google Research / Ads Quality
Exploring large scale machine learning approaches for ads quality; particularly structured latent-variable models of domain adaptation.

05/04 - 08/05
05/03 - 08/03
IBM Research (TJ Watson Lab, Tokyo Yamato Lab)
Worked in the Human Language Technologies group on conversational dialog systems, specifically developing structured classification algorithms for approximating shallow parsers.

08/03 - 05/04
Research Assistant, UT Artificial Intelligence Lab
Appointment to work on Topographica, a high-level cortex simulator for assisting Neuroscience research. Participated mainly in the early system design stages.

05/02 - 05/03
06/01 - 08/01
Intern, Austin Info Systems
Developed distributed algorithms for visualizing large data sets.
Grants, Awards and Honors

07/10
Google PhD Fellowship in Natural Language Processing

03/09
Google Research Award
Grant for "Unsupervised Induction of Semantic Lexicons Handling Both Synonymy and Polysemy" with Ray Mooney.

07/07
Best Paper Award, Generative and Developmental Systems (GECCO 2007)

04/06
NSF Graduate Research Fellowship

09/06
UT David Bruton, Jr. Graduate Fellowship

08/05
UT College of Natural Sciences Dean's Excellence Award

08/05 - 05/06
UT Microelectronics and Computer Development Fellowship
Candidates must rank within the top 10% of all students in their respective disciplines.

01/04
CRA Outstanding Undergraduate Honorable Mention
Computing Research Association award for outstanding research potential.

08/03 - 05/04
NSF VIGRE Award
Grant through the Mathematics department for work on "Pareto optimal decompositions of coevolutionary objectives."
Refereed Publications
Conferences
Joseph Reisinger and Ray Mooney (2011). Cross-Cutting Models of Lexical Semantics. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP-2011). 15% oral acceptance rate / 23% total.
Joseph Reisinger and Marius Pasca (2011). Fine-Grained Class Label Markup of Search Queries. Proceedings of 49th Annual Meeting of the Association for Computational Linguistics (ACL-2011).
Joseph Reisinger and Ray Mooney (2010). A Mixture Model with Sharing for Lexical Semantics. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP-2010). 14% oral acceptance rate / 25% total.
Joseph Reisinger, Austin Waters, Bryan Silverthorn and Ray Mooney (2010). Spherical Topic Models. Proceedings of the Twenty-Seventh International Conference on Machine Learning (ICML-2010). 26% acceptance rate.
Joseph Reisinger and Ray Mooney (2010). Multi-Prototype Vector-Space Models of Word Meaning. Proceedings of the 11th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT-2010). 25% oral acceptance rate / 35% total.
Joseph Reisinger and Marius Pasca (2009). Latent Variable Models of Concept-Attribute Attachment. Proceedings of the 47th Annual Meeting of the Association for Computational Linguistics (ACL-2009). 21% acceptance rate.
Joseph Reisinger and Marius Pasca (2009). Low-Cost Supervision for Multiple-Source Attribute Extraction. Proceedings of the 10th International Conference on Intelligent Text Processing and Computational Linguistics (CICLING-2009). 26% acceptance rate.
Partha Pratim Talukdar, Joseph Reisinger, Marius Pasca, Deepak Ravichandran, Rahul Bhagat and Fernando Pereira (2008). Weakly-Supervised Acquisition of Labeled Class Instances using Graph Random Walks, Proceedings of Empirical Methods in Natural Language Processing (EMNLP-2008). 20% oral acceptance rate / 30% total.
Joseph Reisinger, Peter Stone and Risto Miikkulainen (2008). Online Kernel Selection for Bayesian Reinforcement Learning, Proceedings of the Twenty-Fifth International Conference on Machine Learning (ICML-2008). 27% acceptance rate.
Joseph Reisinger and Risto Miikkulainen (2007). Acquiring Evolvability through Adaptive Representations, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2007). Best Paper Award.
Joseph Reisinger, Erkin Bahceci, Igor Karpov and Risto Miikkulainen (2007). Coevolving Strategies for General Game Playing, Proceedings of the IEEE Symposium on Computational Intelligence and Games (CIG-2007).
Joseph Reisinger and Risto Miikkulainen (2006). Selecting for Evolvable Representations, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2006).
Joseph Reisinger, Kenneth O. Stanley and Risto Miikkulainen (2004). Evolving Reusable Neural Modules. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2004, Seattle, WA), New York, NY: Springer-Verlag.
Workshops and Posters
Joseph Reisinger (2011). Extracting Latent Economic Signal from Online Activity Streams. NIPS 2011 Computational Social Science Workshop.
Joseph Reisinger, Sugato Basu and Roberto Bayardo (2011). Hierarchical Mixtures of GLMs for Combining Multiple Ground Truths. NIPS 2011 Domain Adaptation Workshop.
Joseph Reisinger and Michael Driscoll (2010). Pricing Externalities in Real-Time Bidding Markets. NIPS 2010 Machine Learning in Online Advertising.
Joseph Reisinger, Austin Waters, Bryan Silverthorn and Ray Mooney (2009). Spherical Topic Models. NIPS 2009 Applications for Topic Models Workshop.
Joseph Reisinger and Marius Pasca (2009). Modeling Concept-Attribute Structure. NIPS 2009 Applications for Topic Models Workshop.
Joseph Reisinger and Marius Pasca (2009). Bootstrapped Extraction of Class Attributes. Proceedings of the 18th International World Wide Web Conference (WWW-2009).
Joseph Reisinger and Risto Miikkulainen (2006). Evolvability in Developmental Systems. Proceedings of the 2006 AAAI Fall Symposium on Developmental Systems. Technical Report FS-06-03.
Joseph Reisinger, Kenneth Owen Stanley and Risto Miikkulainen (2005). Towards an Empirical Measure of Evolvability, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2005) Workshop Program.
Joseph Reisinger, Mahesh Viswanathan and Liam Comerford (2005). Conversational Assistant for In-car Task Management. Proceedings of the 2005 AAAI Spring Symposium on Persistent Assistants (Stanford, CA). Technical Report SS-05-05. 129-136.
Kenneth O. Stanley, Joseph Reisinger, and Risto Miikkulainen (2004). Exploiting Morphological Conventions for Genetic Reuse, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2004) Workshop Program. New York, NY: Springer-Verlag, 2004.
Academic Service
Reviewer for NIPS, JMLR, AAAI, IJCAI, EMNLP, CoNLL, Computational Linguistics, and Machine Learning Journal.
Program Committee Member for Creating Speech and Text Language Data With Amazon's Mechanical Turk Workshop, NAACL-2010
Co-organizer of the Forum for Artificial Intelligence (2008-2010)
Teaching Experience

01/09 - 05/09
TA for CS336H Analysis of Programs Honors (discrete math)

09/08 - 12/08
TA for CS388 Graduate Natural Language Processing
Open Source Projects

11/11 -
dist_lda
A simple distributed implementation of Latent Dirichlet Allocation; uses redis for coordination.

05/08 -
Latent Variable Modeling Toolkit
Set of Gibbs samplers for multinomial-dirichlet latent variable models implemented in C++.

08/05 - 12/06
pytw
Developed a Python and Javascript (AJAX) based CGI backend for TiddlyWiki. Over 9000 downloads.

04/00 - 05/04
Mizore
Developed code (C++) for modeling neuronal development.
Patents
Dimitri Kanevsky, Joseph Reisinger, Roberto Sicconi and Mahesh Viswanathan (2005). Hierarchical methods and apparatus for extracting user intent from spoken utterances. International Business Machines Corporation. United States Patent 20070055529.
Diversions

01/06 -
fantasmatique!

10/05
joeraii-Wiz-Elf-Mal-Cha ascended to demigod-hood. (12465514 points)