Aaron Smalter Hall

Aaron Smalter Hall

Senior Data Scientist
Federal Reserve Bank of Kansas City
1 Memorial Drive
Kansas City, Missouri 64198

Biography

Aaron Smalter Hall is a Senior Data Scientist in the Center for the Advancement of Data and Research in Economics (CADRE) at the Federal Reserve Bank of Kansas City. He joined the Bank in July 2015 after several years directing the Molecular Graphics and Modeling Laboratory at the University of Kansas.

He holds a Ph.D. in Computer Science from the University of Kansas and his research background is in machine learning and data mining techniques for large, heterogenous, structured data sets with a specific focus on ensemble approaches, regularized optimization, and kernel methods for structured similarity, with applications to paired object modeling.

Professional Journals and Books

  • Aaron Smalter Hall, Yunfeng Shan, Gerald Lushington, Mahesh Visvanathan. An Overview of Computational Life Science Databases & Exchange Formats of Relevance to Chemical Biology Research, Combinatorial Chemistry and High Throughput Screening, Volume 16, Number 3, March 2013, pp. 189-198(10)
  • The MicroArray Quality Control (MAQC) Consortium, The MAQC-II Project: A Comprehensive Study of Common Practices for the Development and Validation of Microarray-based Predictive Models, Nature Biotechnology, 28:827-838, 2010.
  • Xiaohong Wang, Jun Huan, Aaron Smalter, Gerald Lushington, Application of Kernel Functions for Accurate Similarity Search in Large Chemical Databases, BMC Bioinformatics, Vol. 11 (Suppl 3):S8, 2010.
  • Aaron Smalter, Jun Huan, Gerald Lushington. GPD: A Graph Pattern Diffusion Kernel for Accurate Graph Classification with Applications in Cheminformatics. IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 7, No.2, pp. 197-207, 2010.
  • Aaron Smalter, Jun Huan, Gerald Lushington. Graph Wavelet Alignment Kernels for Drug Virtual Screening. Journal of Bioinformatics and Computational Biology, Vol. 7 (3), pp. 473-497, 2009.

Refereed Conference Proceedings and Workshops

  • Aaron Smalter Hall, Jun Huan. KUChemBio: A repository of computational chemical biology data sets, in Proceedings of the 1st International Workshop on BigData in Bioinformatics and Health Care Informatics (BBH), 2013.
  • Aaron Smalter, Jun Huan, Gerry Lushington. Similarity Boosting for Label Noise Tolerance in Protein-Chemical Interaction Prediction, in Proceedings of the 2nd ACM Conference on Bioinformatics, Computational Biology and Biomedicine (ACM BCB), 2011.
  • Said Bleik, Min Song, Aaron Smalter, Jun Huan. CGM: A biomedical text categorization approach using concept graph mining. In Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine Workshop (BIBM), 2009.
  • Aaron Smalter, Jun Huan, Gerald Lushington. Feature Selection in the Feature Tensor Product Space. In Proceedings of the 9th IEEE International Conference on Data Mining (ICDM), 2009.
  • Xiaohong Wang, Jun Huan, Aaron Smalter, Gerald Lushington. Application of Kernel Functions for Accurate Similarity Search in Large Chemical Databases. In Proceedings of the IEEE International Conference on Bioinformatics and Biomedecine (BIBM), 2009.
  • Xiaohong Wang, Aaron Smalter, Jun Huan, and Gerald Lushington. G-Hash: Towards Fast Kernel-based Similarity Search in Large Graph Databases. In Proceedings of the 12th International Conference on Extending Database Technology (EDBT), 2009.
  • Aaron Smalter, Jun Huan, and Gerald Lushington. GPM: A Graph Pattern Matching Kernel with Diffusion for Chemical Compound Classification. In Proceedings of the 8th IEEE International Conference on Bioinformatics and BioEngineering (BIBE), 2008.
  • Aaron Smalter, Jun Huan, Jia Yi, and Gerald Lushington. GPD: A Graph Pattern Diffusion Kernel for Accurate Graph Classification. In Proceedings of the 8th International Workshop of Data Mining in Bioinformatics (BIOKDD), 2008.
  • Aaron Smalter, Jun Huan, Gerald Lushington. Graph Wavelet Alignment Kernels for Drug Virtual Screening. In Proceedings of the 7th Annual International Conference on Computational Systems Bioinformatics (CSB), 2008.
  • Aaron Smalter, Jun Huan, Gerald Lushington. Structure-based Pattern Mining for Chemical Compound Classification. In Proceedings of the 6th Asia Pacific Bioinformatics Conference (APBC), 2008.
  • Aaron Smalter and Seak Fei Lei and Xue-wen Chen. Human Disease-Gene Classification with Integrative Sequence-Based and Topological Features of Protein-Protein Interaction Networks. In Proc. of IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2007.

Research Working Papers