My research work lies at the intersection of Machine Learning and the social sciences. I have an active research agenda in Natural Language Processing, Network Reconstruction, and Attribute Selection. I am pursuing applications across Information Processing, Asset Pricing, Corporate Finance, Philosophy, Media and more. I am keen to collaborate on a variety of problems and domains–so please reach out!
Research Publications
| “The Creative Machine" (2017) Proceedings of the 8th International Conference on Computational Creativity (143-151) |
| “Disambiguation and Prediction of Dynamic Hierarchical Data Structures” (2017) U.S. Patent No. 273002AE |
| "Large, Noisy, Unstructured Textual Data." (2017), Part 1, Doctoral Research Studies, Jožef Stefan International Postgraduate School, Ljubljana, Slovenia, |
| “Table Understanding from Text Documents” (2016) Encyclopedia of Machine Learning (Springer) |
| “Unsupervised Techniques for Extracting and Clustering Complex Events in News” (2013) Proceedings of the North American ACL Conference (with D. Rusu and A. Kimball) |
| “A System and method for Interactive Machine Translation” (2012) U.S. Patent No. 9,613,026 |
| “Effective Machine Translation for Real-World Translators” (2009) Proceedings of the International Translating and the Computer Conference (with A. Eisele, C. Federmann) |
| "Consciousness as the Domain of a Computation" (2009) Logos: Cornell Journal of Philosophy |
Popular Publications
| "How to Make Your Company Machine Learning Ready," (2016) Harvard Business Review |
Working Papers
| “A Distributed Information Verification Model for Financial Markets” (with R. Olsen) |
| “Discovering Hierarchical Structure from Bags of Paths” |
| “Trading on Talent: Human Capital and Firm Performance.” (with A. Fedyk) |
| “When Can the Market Identify Stale News?” (with A. Fedyk) Peer-reviewed conferences: Trans-Atlantic Doctoral Conference 2015; World Finance Conference 2015. |
| "The Career Consequences of Corporate Scandals." (with A. Fedyk) |
| "Asymmetric Peer Group Learning for Network Time Series Prediction." (with J. Erett) |
Research Agenda
Work that is at various stages of completion, without a full paper having yet been written. Often some preliminary versions of this research have been presented at seminars and discussed with relevant colleagues in the field. Coming soon: gender in the workplace; global workforce dynamics and skills; the career consequences of corporate scandals; entrepreneurship; a natural language attribute selection framework; understanding SEC filings; a general purpose resume parsing framework.