João 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.