Graham Mueller bio photo

Graham Mueller

Applied mathematics refugee, PhD economist, interested in time series, machine learning and graph theory.

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About me

I have a Ph.D. in Economics. My Ph.D. thesis examined reinforcement learning in social networks. I also have an M.S. in Applied Mathemics focusing on stochastic processes and computational finance. I spent 2.5 years working on DARPA’s XDATA and Memex projects. I was an adjunct professor of Mathematics at Georgetown University from 2014-2017. I worked as a machine learning consultant at FINRA before joining Leidos as Sr. Research Scientist. I am now serve as the Director of Forecasting and Anomaly Detection and Technical Fellow in the AI Accelerator.

Selected Publications

View my full publication list on Google Scholar.

  • Differentiable Community Detection with Graph Neural Networks and Stochastic Block Models W Arliss, WG Mueller The Fourth Learning on Graphs Conference, 2025

  • Clustering Zero-Shot Uncertainty Estimations to Assess LLM Response Accuracy for Yes/No Q&A CT Franck, A Vennos, WG Mueller, D Dakota Proceedings of the Fourth Workshop on Generation, Evaluation and Metrics, 2025

  • Using Hypervectors for Efficient Anomaly Detection in Graph Streams W Arliss, A Godbehere, G Mueller 2024 IEEE 11th International Conference on Data Science and Advanced Analytics, 2024

  • Geospatial Trajectory Generation via Efficient Abduction: Deployment for Independent Testing D Bavikadi, D Aditya, D Parkar, P Shakarian, G Mueller, C Parvis, et al. arXiv preprint arXiv:2407.06447, 2024

  • Forecasting Network Intrusions from Security Logs Using LSTMs WG Mueller, A Memory, K Bartrem MLHAT 1271 (Deployable Machine Learning for Security), 2020

  • Detecting and Annotating Narratives in Social Media: A Vision Paper M Blackburn, N Yu, A Memory, WG Mueller ICWSM Workshops, 2020

  • Analyzing the perceived severity of cybersecurity threats reported on social media S Zong, A Ritter, G Mueller, E Wright Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

  • Causal discovery of cyber attack phases WG Mueller, A Memory, K Bartrem 2019 18th IEEE International Conference On Machine Learning And Applications, 2019

  • Sensor fusion and structured prediction for cyberattack event networks A Memory, WG Mueller 15th International Workshop on Mining and Learning with Graphs (MLG), 2019