Pierre Bouquet is a PhD candidate and research assistant in operations research and computer science at the MIT Center for Transportation & Logistics, where he conducts doctoral research under the supervision of Prof. Yossi Sheffi, the center’s director. His work focuses on the Future of Work, with an emphasis on quantitatively measuring the impact of artificial intelligence on labor markets, organizations, and society.
His current research builds on earlier work conducted with Prof. Sheffi during his master’s thesis and combines large-scale data analysis, statistical modeling, and machine learning to develop new measurement frameworks for AI-driven productivity and task transformation. This research agenda led to co-founding of the Work Analytics Laboratory, which develops data-driven, task-level quantitative frameworks to study how artificial intelligence reshapes productivity, job quality, and organizational performance across private, public, and governmental organizations. (TBC if WAL is public or not yet).
Prior to joining MIT, Bouquet earned both his BSc and MSc in Mechanical Engineering from the Swiss Federal Institute of Technology in Lausanne (EPFL), where he also completed a minor in data science.
His research interests span operations research, applied econometrics, and machine learning. In parallel, he has developed several open-source tools, including PibouFilings, a Python library for large-scale analysis of SEC EDGAR filings that has been downloaded thousands of times. He has also worked on applied machine learning projects, such as deep learning models for solar irradiance forecasting in Switzerland to support energy trading and smart grid optimization.
