I am a postdoctoral researcher in the Personal Robotics Lab with Prof. Sidd Srinivasa. I conduct research on machine learning and artifical intelligence, and more specifically the challenge of sequential decision making under uncertainty. I believe in well-founded techniques and gaining a deep understanding of problems, but ultimately I want to engineer systems that empower and amplify humans.
I hold a PhD in Robotics from Carnegie Mellon University, where I developed statistical estimators and scalable clustering algorithms for the CMU counter-human trafficking project. Along with the spinoff company Marinus Analytics, this effort successfully rescued hundreds of victims. I am also a former NSF Graduate Research Fellow.
- Barnes, M. & Dubrawski, A. (2019). On the Interaction Effects Between Prediction and Clustering. To appear in Proceedings of the 22th International Conference on Artificial Intelligence and Statistics (AISTATS 2019).
- Barnes, M. & Dubrawski, A. (2017). The Binomial Block Bootstrap Estimator for Evaluating Loss on Dependent Clusters. In Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI 2017). Supplementary Material
- Steorts, B., Barnes, M., & Neiswanger, W. (2017). Performance Bounds for Graphical Record Linkage. In Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS 2017).
- Barnes, M. & Dubrawski, A. (2016). Clustering on the Edge: Learning Structure in Graphs.
- Dubrawski, A., Miller, K., Barnes, M., Boecking, B., & Kennedy, E. (2015). Leveraging Publicly Available Data to Discern Patterns of Human-Trafficking Activity. Journal of Human Trafficking, 1, 65–85.
- Barnes, M., Gisolfi, N., Fiterau, M., Dubrawski, A. (2015). Leveraging Common Structure to Improve Prediction across Related Datasets. In Association for the Advancement of Artificial Intelligence (AAAI).
- Barnes, M. (2014). A Practioner’s Guide to Evaluating Entity Resolution Results. Technical report.
- Dunn, J., Gaines, L., Barnes, M., Sullivan, J., & Wang, M. (2012). Material and Energy Flows in the Materials Production, Assembly, and End of Life Stages of the Automotive Lithium Ion Battery Life Cycle. Technical Report.
- Barnes, M., & Brennan, S. (2012). Simulation, Design, and Verification of an Electrified Bicycle Energy Model. In ASME 2012 5th Annual Dynamic Systems and Control Conference (pp. 875–880). American Society of Mechanical Engineers. Best Paper in Session Award