The CREST laboratory is excited to introduce its newest members, whose diverse expertise promises to contribute significantly to our ongoing research endeavors. Hailing from various fields, each researcher brings a unique perspective and valuable insights that will undoubtedly enrich the lab’s intellectual environment.

Statistics			Sociology	Finance
Austin Stromme	Frédéric Lavancier	Guillaume Maillard	Lea Pessin	Olivier Lopez	Olivier David Zerbib
Austin Stromme, a 5th-year Ph.D. student in the EECS Department at MIT, comes with a strong academic background. Under the guidance of Philippe Rigollet and Guy Bresler, his focus lies in geometric problems related to statistics and optimization. Having graduated with a double major in mathematics and computer science from the University of Washington in 2018, Austin is poised to make meaningful contributions to the lab’s statistical research.	Hailing from France, Frédéric Lavancier is a distinguished statistician renowned for his contributions to statistical theory and methodology. With expertise in spatial statistics and stochastic processes, his research extends across diverse statistical domains. Holding leadership positions at GENES and CAPESA, Frédéric’s presence in CREST augments the lab’s statistical prowess.	Guillaume Maillard, a postdoctoral researcher at the University of Luxembourg, focuses on mathematical statistics. His work encompasses robust non-parametric estimation, model selection, and aggregation, with particular emphasis on cross-validation and hold-out aggregation. Guillaume’s expertise adds depth to CREST’s statistical research capabilities.	Assistant Professor of Sociology and Demography, Léa Pessin, brings a wealth of experience. Holding a Ph.D. from Pompeu Fabra University, her research delves into the gender revolution’s implications on women’s work and family outcomes. Utilizing quantitative methods on cross-national and longitudinal data, Léa’s work contributes to a deeper understanding of societal dynamics.	Olivier Lopez, a professor of applied mathematics (statistics) at Sorbonne University, specializes in actuarial science and statistical modeling. With a keen focus on emerging risks in insurance, Olivier’s research addresses cyber-risks, duration models, copula models, and high-dimensional problems. His association with AXA Research Fund underscores his commitment to cutting-edge research.	As an Associate Professor of Finance, Olivier David Zerbib’s research spans sustainable finance and asset pricing. Having previously worked at EDHEC Business School and Boston University, his expertise enhances CREST’s financial research initiatives. His focus on sustainable and environmental finance aligns with today’s evolving financial landscape.

Economics				Computer science
Sara Signorelli	Bertrand Garbinti	Suzanne Bellue	Marion Leroutier	Cédric Herzet
Dr. Sara Signorelli, an Assistant Professor of Microeconomics at the University of Amsterdam, is a rising star in labor economics, public economics, migration, and innovation. Her association with esteemed institutions like Paris School of Economics and University of Amsterdam enriches CREST’s economic research portfolio.	Senior Researcher at CREST-ENSAE-Institut Polytechnique Paris, Bertrand Garbinti’s research explores economics of inequality, taxation, public economics, and family dynamics. His association with Banque de France and other reputable institutions underscores his influence in the economic research landscape.	Suzanne Bellue, a Ph.D. candidate in economics from Mannheim University, contributes a fresh perspective to macroeconomics, public, labor, and development economics. Her potential to shed light on these crucial economic domains resonates with CREST’s commitment to comprehensive economic research.	Applied environmental economist Marion Leroutier’s work on air pollution and climate change adds a vital dimension to CREST’s research. Her accolades include the 2022 Best Doctoral Dissertation Award from the European Association of Environmental and Resource Economists. Her upcoming tenure-track position at ENSAE and CREST signifies her future contributions to the field.	With a Ph.D. in Applied Sciences from Université catholique de Louvain, Cédric Herzet’s expertise in machine learning, inverse problems, and model-order reduction is invaluable. His research in efficient reconstruction methods showcases his commitment to pushing the boundaries of computer science.

The addition of these brilliant minds to CREST underscores the lab’s commitment to fostering interdisciplinary research and driving innovation across various fields. Their collective expertise promises to chart new frontiers in their respective domains, enriching CREST’s legacy of excellence.