Faculty Profile: Byron Wallace, PhD

Byron Wallace
Byron Wallace, PhD
Asst Professor of Health Services, Policy & Practice (Rsch)
Public Health-Health Services Policy & Practice
Work: +1 401-863-6421

Biography

I am a research assistant professor within the newly established Center for Evidence-based Medicine. My research is primarily in machine learning/data mining/NLP, with an emphasis on applications in health informatics. I am interested in developing computational models that make sense of health-related information. This often entails developing novel machine learning/NLP methods. I am also interested in computational issues in evidence synthesis, broadly defined.

I completed my PhD in computer science at Tufts in June 2012, advised by Carla Brodley. My dissertation concerned machine learning in health informatics, specifically with the aim of reducing the (human) workload involved in conducting systematic reviews. During my time at Tufts, I was also a research computer scientist within the Institute for Clinical Research and Health Policy Studies at Tufts Medical Center.

Selected Publications

  • Byron C Wallace, Issa J Dahabreh, Thomas A Trikalinos, Joseph Lau, Paul Trow and Chistopher H Schmid. Closing the gap between method- ologists and end-users: R as a computational back-end. Journal of Statistical Software. 49: 1–15. 2012. (2012)
  • Carla E Brodley, Umaa Rebbapragada, Kevin Small and Byron C Wallace. Challenges and opportunities in applied machine learning. Artificial Intelligence Magazine. 33:11-24. 2012. (2012)
  • Byron C Wallace, Kevin Small, Carla E Brodley, Joseph Lau and Thomas A Trikalinos. Deploying an interactive machine learning system in an evidence-based practice center: abstrackr. In: Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium (IHI). ACM, pp. 819–824. 2012. (2012)
  • Byron C Wallace, Kevin Small, Carla E. Brodley, Joseph Lau, Christopher H. Schmid, Lars Bertram, Christina M. Lill, Joshua T. Cohen and Thomas A. Trikalinos. Toward modernizing the systematic review pipeline in genetics: efficient updating via data mining. Genetics in Medicine. 14:663-669. 2012. (2012)
  • Byron C Wallace and Issa J Dahabreh. Class Probability Estimates are Unreliable for Imbalanced Data (and How to Fix Them). To appear in: Proceedings of the IEEE 12th International Conference on Data Mining (ICDM). 2012. (2012)
  • Byron C Wallace. Multiple narrative disentanglement: Unraveling infinite jest. In: Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL). Montréal, Canada: Association for Computational Linguistics, pp. 1–10. 2012. (2012)
  • Ragnhild D. Whitaker, Steve Pember, Byron C Wallace, Carla E Brodley and David Walt. Single cell time-resolved quorum responses reveal dependence on cell density and configuration. Journal of Biological Chemistry 286: 21623–21632. 2011. (2011)
  • Kevin Small, Byron C Wallace, Carla E Brodley and Thomas A Trikalinos. The constrained weight space SVM: Learning with ranked features. In: International Conference on Machine Learning (ICML). pp. 754–763. 2011. (2011)
  • Byron C Wallace, Kevin Small, Carla E Brodley and Thomas A Trikalinos. Who should label what? instance allocation in multiple expert active learning. In: Siam International Conference on Data Mining (SDM). SIAM, pp. 176-187. 2011. (2011)
  • Byron C Wallace, Kevin Small, Carla E Brodley and Thomas A Trikalinos. Class imbalance, redux. In: Proceedings of the IEEE 11th International Conference on Data Mining (ICDM). IEEE, pp. 754–763. 2011. (2011)
  • Byron C Wallace, Thomas A Trikalinos, Joseph Lau, Carla E Brodley and Chistopher H Schmid. Semi-automated screening of biomedical citations for systematic reviews. BMC Bioinformatics. 11(1):55+. 2010. (2010)
  • Byron C Wallace, Kevin Small, Carla E Brodley and Thomas A Trikalinos. Active learning for biomedical citation screening. In: Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining. New York, NY, USA: ACM, pp. 173–182. 2010. (2010)
  • Byron C Wallace, Kevin Small, Carla E Brodley and Thomas A Trikalinos. Modeling annotation time to reduce workload in comparative effectiveness reviews. In: Proceedings of the 1st ACM International Health Informatics Symposium. pp. 28–35. 2010. (2010)
  • Byron C Wallace, Christopher H Schmid, Joseph Lau and Thomas A Trikalinos. Meta-analyst: Software for Meta-analysis of Binary, Continuous and Diagnostic Data. BMC Medical Research Methodology. 9(1):80+. 2009. (2009)
  • PJ Castaldi, MH Cho, M Cohn, F Langerman, S Moran, N Tarragona, H Moukhachen, R Venugopal, D Hasimja, E Kao, BC Wallace, CP Hersh, S Bagade, L Bertram, EK Silverman, TA Trikalinos. The COPD Genetic Association Compendium: a Comprehensive Online Database of COPD Genetic Associations. Human Molecular Genetics. 1;19(3):526-34. 2009. (2009)