João Sedoc
- Associate Professor of Technology, Operations, and Statistics
Joined Stern 2020
Leonard N. Stern School of Business
About João Sedoc
João Sedoc is an Associate Professor of Technology, Operations and Statistics at New York University Stern School of Business.
Professor Sedoc's research areas are at the intersection of machine learning and natural language processing. His interests include conversational agents, hierarchical models, deep learning, spectral clustering, spectral estimation of hidden Markov models, and time series analysis.
Before joining NYU Stern, Professor Sedoc worked as an Assistant Research Professor in the Department of Computer Science at Johns Hopkins University. He has also worked in quantitative finance having started Chivalric Trading, been a portfolio manager at Millennium Management and worked as a researcher at BNP Paribas / Cooper Neff.
Professor Sedoc received his BS in Mathematics, BSE in Computer Science Engineering and PhD in Computer and Information Science from the University of Pennsylvania.
- Technology, Operations, and Statistics Department
- Intersection of machine learning and natural language processing
- Conversational agents
- Hierarchical models
- Deep learning
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Technology, Operations & Statistics
- Artificial Intelligence
- Crowdsourcing
- Data Mining
- Data Science
- Machine Learning
- Text Mining
- Artificial Intelligence
- Deep Learning Methods for Automated Discourse
- Selected Topics in Natural Language Processing
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Ph.D., Computer and Information Science
University of Pennsylvania
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B.A., Mathematics
University of Pennsylvania
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B.S.E., Computer Science Engineering
University of Pennsylvania