Daniel Preoțiuc-Pietro

PhD., Natural Language Processing, Computational Social Science

Daniel Preoțiuc-Pietro is a senior engineering manager in the AI Group at Bloomberg, based in New York City. Currently, he manages the AI Search Services group that develops Search APIs and maintains the infrastructure for both low-latency search and agentic applications over 1+ billion documents. Previously, he was the senior manager of the NLP Platforms group developing libraries, tools and models that power products and applications developed by Bloomberg. Throughout his time, he managed teams working on topics including as agentic applications, LLM post-training, reinforcement learning, training of embedding models, re-ranking and federated search, automatic evaluation using LLMs, model distillation, inference optimization, information extraction or semantic parsing.

His research interests are in the wider areas of Natural Language Processing, Large Language Models and Computational Social Science where he has authored over 50 top-tier publications. His recent research theme is introducing and developing new task setups, applications and resources for NLP tasks inspired by industry use cases. His personal research interests are on understanding the pragmatic, social and temporal aspects of text, especially from social media, with applications to domains such as Psychology, Law, Political Science and Journalism. His past original research was featured extensively in popular press including the Washington Post, BBC or New Scientist.

He is currently the program chair of the EACL 2027 Industry Track. He is the co-founder and co-organizer of the Natural Legal Language Processing (NLLP) workshop series at *ACL conferences, was the Industry Track Chair at EMNLP 2024 and regularly serves in the senior program committee at major NLP conferences.

Prior to joining Bloomberg nine years ago, he was a postdoctoral research fellow at the University of Pennsylvania working on the World Well-Being Project in the Positive Psychology Center. Daniel completed his PhD in the Natural Language Processing Group at the University of Sheffield and was a research associate for the TrendMiner EU project.