Daniel Preoțiuc-Pietro is a senior researcher at Bloomberg LP, New York City. His research interests are in the areas of Natural Language Processing, Computational Social Science and Machine Learning.
Previously, he was a postdoctoral research fellow at the University of Pennsylvania and worked on the World Well-Being Project in the Positive Psychology Center.
Daniel completed his PhD studies on temporal models for social media as part of the Natural Language Processing Research Group at the University of Sheffield. During his time in Sheffield, he was also a part-time research associate for the TrendMiner EU FP7 project where he worked on predicting real world outcomes such as political voting intention and uncovering spatio-temporal patterns in large user-generated content.
My research interests are at the intersection of Natural Language Processing, Machine Learning and Social Science, with a focus or large user-generated data: