Each year, CREST goes beyond its borders to find new minds to keep on offering pioneer research. This year, CREST was able to attract new talents from all around the world (Canada, France, Italy, Switzerland, UEA, UK and USA). These new recruits bring with them a wealth of knowledge, diverse experiences, and a passion for pushing the boundaries of their respective fields. New recruits is always very much appreciated by our PhD students and students from ENSAE Paris, ENSAI and École polytechnique, where they may teach as they arrive with a different background and knowledge base.
As CREST continues to produce groundbreaking research about and for society, the arrival of these scholars marks a significant milestone in our journey. Each professor brings unique expertise that will not only enhance our ongoing projects but also open new avenues for exploration and discovery.
In this article, we will introduce you to our new researchers, delve into their backgrounds, and share their specializations that will contribute to the vibrant research environment at CREST.
Economics
Laurent Bach, Visiting Professor (ESSEC)
Interests: Entrepreneurial Finance, Corporate Governance, Household Finance, Public Economics, Political Economy
Current position: Laurent is currently and Associate Professor of Finance at ESSEC Business School
Laurent completed is PhD from Paris School of Economics in 2010
Federico Di Pace, Associate Professor (ENSAI)
Interests: Monetary Economics, macro-labor, international economics and applied econometrics
Previous position: Federico was previously a Senior Economist at the Bank of England.
Experienced Senior Economist with a demonstrated history of working in the academia and central banking, Federico conducted economic research with particular focus on labor markets and its interaction with monetary policy. He has conducted academic policy pieces using applied theory and time series econometrics. Federico completed his PhD in Economics at Birkbeck College, University of London.
https://sites.google.com/site/federicodipace/home?authuser=0
Yameng Fan, Assistant Professor (ENSAI)
Interests: Macroeconomics of labor markets, political economy, market power and spatial economics.
Previous position: PhD in Economics from Universitat Pompeu Fabra.
Florian Grosset, Assistant Professor (ENSAE Paris, Institut Polytechnique de Paris)
Interests: Development and environmental economics with interests in labor and firms
Previous position: PhD in Sustainable Development from Columbia University
The first strand of his research focuses on labor and networks in lower-income countries. His work explores how individuals’ labor supply decisions are influenced by their social network members, primarily with field experiments. The second strand of Florian’s research focuses on firms’ responses to environmental changes. It combines insights from the natural sciences with applied micro-economic tools for causal identification.
Marion Leroutier, Assistant Professor (ENSAE Paris, Institut Polytechnique de Paris)
Interests: Applied Environmental Economics focusing on two major environmental issues, ambient air pollution and climate change.
Previous position: Postdoctoral fellow at the Institute for Fiscal Studies.
Marion’s research agenda has two angles. First, she investigates the societal cost of air pollution and the causal impact of climate and environmental policies, with an emphasis on health, productivity and distributional effects. In a second and more early-stage angle, Marion studies the determinants of support for green policies, in particular the role of social norms and identity.
Bertille Picard, Assistant Professor (ENSAI)
Interests: Econometrics, Machine Learning applied to policy evaluation and inequalities.
Previous position: PhD in Economics at Aix-Marseille School of Economics (AMSE)
Yuki Tamura, Assistant Professor (École polytechnique, Institut Polytechnique de Paris)
Interests: Micoeconomic Theory, Market Design, Social Choice and Political Economy.
Previous position: Postdoctoral Associate at the Center for Behavioral Institutional Design, NUY Abu Dhabi.
Finance-Insurance
Roxana Dumitrescu, Associate Professor (ENSAE Paris, Institut Polytechnique de Paris)
Interests: Financial Mathematics, Stochastic Control, Stochastic Differential Games, Mean-field Games, Backward Stochastic Differential Equations, Energy Markets, Machine Learning.
Previous position: Associate Professor in Financial Mathematics at King’s College of London.
Sociology
Samuel Rufat, Assistant Professor (École polytechnique, Institut Polytechnique de Paris)
Interests: Urban Geography, Urban Studies, Spatial Analysis, Socio-Economic Inequalities, Segregation, Socio-Spatial Reconfigurations, Environmental justice, …
Previous position: Lecturer at CY Cergy Université Paris Cité (Géographie-cités)
Hesu Yoon, Assistant Professor (ENSAE Paris, Institut Polytechnique de Paris)
Interests: Inequality, Poverty, and mobility, Community and Urban Sociology, Race, Gender and Class, Cultural Sociology, Social Psychology, Computational Social Science, Mixed Methods.
Previous position: PhD in Sociology at Stanford University.
Hesu’s research asks longstanding questions about spatial inequality in urban sociology: Why do some neighborhoods (or cities) grow by attracting people and capital while others do not? How does this place stratification intersect with racial and class-based inequalities? Combining experimental, computational, and qualitative approaches, she interrogates high-status consumers and place entrepreneurs – such as business owners, landlords, and travel writers – who have the power to mold physical, economic, and symbolic urban landscapes.
Statistics
Vincent Divol, Assistant Professor (ENSAE Paris, Institut Polytechnique de Paris)
Interests: Topics at the intersection of statistics and geometry, including statistical optimal transport, geometric inference and topological data analysis.
Previous position: Junior AI Fellow at Université PSL.
Marie-Pierre Etienne, Associate Professor (ENSAI)
Interests: Development of statistical methods for ecology.
Previous position: Assistant Professor at Agrocampus Ouest.
Marie-Pierre is mainly interested in the use of stochastic processes to model and infer biological processes, particularly ecological processes.
Recently she focused mainly on movement ecology application and the development of statistical methods to extract knowledge from the study of animals, but also fishing vessels movement.
Sébastien Herbreteau, Assistant Professor (ENSAI)
Interests: Statistical and Machine Learning Methods for image processing, inverse problems, optimization and mathematical understanding of neural networks.
Previous position: Postdoctoral Fellow in the Biomedical Imaging Group at the Ecole Polytechnique Fédérale de Lausanne.
Emmanuel Pilliat, Assistant Professor (ENSAI)
Interests: Machine Learning and High-Dimensional Statistics.
Previous position: Postdoctoral Fellow at ENS Lyon.
Ludovic Stephan, Assistant Professor (ENSAI)
Interests: Random graphs, inference problems, machine learning theory.
Previous position: Postdoctoral Fellow in the idePHICS lab at Ecole Polytechnique Fédérale de Lausanne.
My research interests involve the rigorous study of statistical-physics inspired methods, from belief propagation to replica equations.
Welcome at CREST: Introducing our latest recruits.
Each year, CREST goes beyond its borders to find new minds to keep on offering pioneer research. This year, CREST was able to attract new talents from all around the world (Canada, France, Italy, Switzerland, UEA, UK and USA). These new recruits bring with them a wealth of knowledge, diverse experiences, and a passion for pushing the boundaries of their respective fields. New recruits is always very much appreciated by our PhD students and students from ENSAE Paris, ENSAI and École polytechnique, where they may teach as they arrive with a different background and knowledge base.
As CREST continues to produce groundbreaking research about and for society, the arrival of these scholars marks a significant milestone in our journey. Each professor brings unique expertise that will not only enhance our ongoing projects but also open new avenues for exploration and discovery.
In this article, we will introduce you to our new researchers, delve into their backgrounds, and share their specializations that will contribute to the vibrant research environment at CREST.
Economics
Laurent Bach, Visiting Professor (ESSEC)
Interests: Entrepreneurial Finance, Corporate Governance, Household Finance, Public Economics, Political Economy
Current position: Laurent is currently and Associate Professor of Finance at ESSEC Business School
Laurent completed is PhD from Paris School of Economics in 2010
Federico Di Pace, Associate Professor (ENSAI)
Interests: Monetary Economics, macro-labor, international economics and applied econometrics
Previous position: Federico was previously a Senior Economist at the Bank of England.
Experienced Senior Economist with a demonstrated history of working in the academia and central banking, Federico conducted economic research with particular focus on labor markets and its interaction with monetary policy. He has conducted academic policy pieces using applied theory and time series econometrics. Federico completed his PhD in Economics at Birkbeck College, University of London.
https://sites.google.com/site/federicodipace/home?authuser=0
Yameng Fan, Assistant Professor (ENSAI)
Interests: Macroeconomics of labor markets, political economy, market power and spatial economics.
Previous position: PhD in Economics from Universitat Pompeu Fabra.
Florian Grosset, Assistant Professor (ENSAE Paris, Institut Polytechnique de Paris)
Interests: Development and environmental economics with interests in labor and firms
Previous position: PhD in Sustainable Development from Columbia University
The first strand of his research focuses on labor and networks in lower-income countries. His work explores how individuals’ labor supply decisions are influenced by their social network members, primarily with field experiments. The second strand of Florian’s research focuses on firms’ responses to environmental changes. It combines insights from the natural sciences with applied micro-economic tools for causal identification.
Marion Leroutier, Assistant Professor (ENSAE Paris, Institut Polytechnique de Paris)
Interests: Applied Environmental Economics focusing on two major environmental issues, ambient air pollution and climate change.
Previous position: Postdoctoral fellow at the Institute for Fiscal Studies.
Marion’s research agenda has two angles. First, she investigates the societal cost of air pollution and the causal impact of climate and environmental policies, with an emphasis on health, productivity and distributional effects. In a second and more early-stage angle, Marion studies the determinants of support for green policies, in particular the role of social norms and identity.
Bertille Picard, Assistant Professor (ENSAI)
Interests: Econometrics, Machine Learning applied to policy evaluation and inequalities.
Previous position: PhD in Economics at Aix-Marseille School of Economics (AMSE)
Yuki Tamura, Assistant Professor (École polytechnique, Institut Polytechnique de Paris)
Interests: Micoeconomic Theory, Market Design, Social Choice and Political Economy.
Previous position: Postdoctoral Associate at the Center for Behavioral Institutional Design, NUY Abu Dhabi.
Finance-Insurance
Roxana Dumitrescu, Associate Professor (ENSAE Paris, Institut Polytechnique de Paris)
Interests: Financial Mathematics, Stochastic Control, Stochastic Differential Games, Mean-field Games, Backward Stochastic Differential Equations, Energy Markets, Machine Learning.
Previous position: Associate Professor in Financial Mathematics at King’s College of London.
Sociology
Samuel Rufat, Assistant Professor (École polytechnique, Institut Polytechnique de Paris)
Interests: Urban Geography, Urban Studies, Spatial Analysis, Socio-Economic Inequalities, Segregation, Socio-Spatial Reconfigurations, Environmental justice, …
Previous position: Lecturer at CY Cergy Université Paris Cité (Géographie-cités)
Hesu Yoon, Assistant Professor (ENSAE Paris, Institut Polytechnique de Paris)
Interests: Inequality, Poverty, and mobility, Community and Urban Sociology, Race, Gender and Class, Cultural Sociology, Social Psychology, Computational Social Science, Mixed Methods.
Previous position: PhD in Sociology at Stanford University.
Hesu’s research asks longstanding questions about spatial inequality in urban sociology: Why do some neighborhoods (or cities) grow by attracting people and capital while others do not? How does this place stratification intersect with racial and class-based inequalities? Combining experimental, computational, and qualitative approaches, she interrogates high-status consumers and place entrepreneurs – such as business owners, landlords, and travel writers – who have the power to mold physical, economic, and symbolic urban landscapes.
Statistics
Vincent Divol, Assistant Professor (ENSAE Paris, Institut Polytechnique de Paris)
Interests: Topics at the intersection of statistics and geometry, including statistical optimal transport, geometric inference and topological data analysis.
Previous position: Junior AI Fellow at Université PSL.
Marie-Pierre Etienne, Associate Professor (ENSAI)
Interests: Development of statistical methods for ecology.
Previous position: Assistant Professor at Agrocampus Ouest.
Marie-Pierre is mainly interested in the use of stochastic processes to model and infer biological processes, particularly ecological processes.
Recently she focused mainly on movement ecology application and the development of statistical methods to extract knowledge from the study of animals, but also fishing vessels movement.
Sébastien Herbreteau, Assistant Professor (ENSAI)
Interests: Statistical and Machine Learning Methods for image processing, inverse problems, optimization and mathematical understanding of neural networks.
Previous position: Postdoctoral Fellow in the Biomedical Imaging Group at the Ecole Polytechnique Fédérale de Lausanne.
Emmanuel Pilliat, Assistant Professor (ENSAI)
Interests: Machine Learning and High-Dimensional Statistics.
Previous position: Postdoctoral Fellow at ENS Lyon.
Ludovic Stephan, Assistant Professor (ENSAI)
Interests: Random graphs, inference problems, machine learning theory.
Previous position: Postdoctoral Fellow in the idePHICS lab at Ecole Polytechnique Fédérale de Lausanne.
My research interests involve the rigorous study of statistical-physics inspired methods, from belief propagation to replica equations.
8 CREST papers to be presented at ICML 2024
This year, several researchers from CREST will present their papers to the International Conference on Machine Learning (ICML) which will occur from July 21st to 27th.
About ICML
The International Conference on Machine Learning (ICML) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence known as machine learning.
ICML is globally renowned for presenting and publishing cutting-edge research on all aspects of machine learning used in closely related areas like artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, and robotics.
ICML is one of the fastest growing artificial intelligence conferences in the world. Participants at ICML span a wide range of backgrounds, from academic and industrial researchers, to entrepreneurs and engineers, to graduate students and postdocs.
CREST’s papers to be presented
1. A connection between Tempering and Entropic Mirror Descent
Nicolas Chopin, Francesca R Crucinio, Anna Korba
2. Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians
Tom Huix, Eric Moulines, Alain Oliviero Durmus, Anna Korba
3. Sliced-Wasserstein Estimation with Spherical Harmonics as Control Variates
Rémi Leluc, Aymeric Dieuleveut, François Portier, Johan Segers, Aigerim Zhuman
4. A New Branch-and-Bound Pruning Framework for $ell_0$-Regularized Problems
Guyard Theo, Cédric Herzet, Clément Elvira, Ayse-Nur Arslan
5. Active Ranking and Matchmaking, with Perfect Matchings
Hafedh Ferchichi, Matthieu LERASLE, Vianney Perchet
6. Non-clairvoyant Scheduling with Partial Predictions
Ziyad Benomar, Vianney Perchet
7. Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution
Elen Vardanyan, Sona Hunanyan, Arnak Dalalyan, Tigran Galstyan, Arshak Minasyan
8. On a Neural Implementation of Brenier’s Polar Factorization
Nina Vesseron, Marco Cuturi
Click here for more information about the conference.
8 CREST papers to be presented at ICML 2024
This year, several researchers from CREST will present their papers to the International Conference on Machine Learning (ICML) which will occur from July 21st to 27th.
About ICML
The International Conference on Machine Learning (ICML) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence known as machine learning.
ICML is globally renowned for presenting and publishing cutting-edge research on all aspects of machine learning used in closely related areas like artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, and robotics.
ICML is one of the fastest growing artificial intelligence conferences in the world. Participants at ICML span a wide range of backgrounds, from academic and industrial researchers, to entrepreneurs and engineers, to graduate students and postdocs.
CREST’s papers to be presented
1. A connection between Tempering and Entropic Mirror Descent
Nicolas Chopin, Francesca R Crucinio, Anna Korba
2. Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians
Tom Huix, Eric Moulines, Alain Oliviero Durmus, Anna Korba
3. Sliced-Wasserstein Estimation with Spherical Harmonics as Control Variates
Rémi Leluc, Aymeric Dieuleveut, François Portier, Johan Segers, Aigerim Zhuman
4. A New Branch-and-Bound Pruning Framework for $\ell_0$-Regularized Problems
Guyard Theo, Cédric Herzet, Clément Elvira, Ayse-Nur Arslan
5. Active Ranking and Matchmaking, with Perfect Matchings
Hafedh Ferchichi, Matthieu LERASLE, Vianney Perchet
6. Non-clairvoyant Scheduling with Partial Predictions
Ziyad Benomar, Vianney Perchet
7. Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution
Elen Vardanyan, Sona Hunanyan, Arnak Dalalyan, Tigran Galstyan, Arshak Minasyan
8. On a Neural Implementation of Brenier’s Polar Factorization
Nina Vesseron, Marco Cuturi
Click here for more information about the conference.
Beyond the PhD – CREST Series 2: How would you define a PhD?
Last year, CREST introduced a new series of videos on the PhD theme. Léa Bou Sleiman & Martin Mugnier were interviewed for this first episode of “Beyond the PhD”. The 4th year economics PhD students present their career at CREST and their participation in the International Job Market.
In 2024, the Beyond the PhD series is focused on the definition of a PhD.
In doing so, four PhD students from CREST have participated in this interview series:
- Reda Alami Chentoufi, 1st year PhD student in Finance-Insurance (CREST-GENES)
- Emma Bonutti d’Agostini, 1st year PhD student in Sociology (CREST-GENES)
- Yiyun Zheng, 2nd year PhD student in Economics (CREST-Ecole polytechnique)
- Clara Carlier, 3rd year PhD student in Statistics (CREST-GENES)
With the participation of Prof. Emmanuelle Taugourdeau, Research Director at CNRS and Deputy Director at CREST, all four PhD students answered some questions about the PhD program: how would they describe it, what is of importance in a PhD and their recommendations to future PhD students.
All videos are now available on the CREST’s YouTube account.
We want here to promote the interview highlights that key points of all interviews in one.
Below, you will find all videos available in the scope of the Beyond the PhD video series 2.
Beyond the PhD – CREST Series 2: How would you define a PhD?
Last year, CREST introduced a new series of videos on the PhD theme. Léa Bou Sleiman & Martin Mugnier were interviewed for this first episode of “Beyond the PhD”. The 4th year economics PhD students present their career at CREST and their participation in the International Job Market.
In 2024, the Beyond the PhD series is focused on the definition of a PhD.
In doing so, four PhD students from CREST have participated in this interview series:
- Reda Alami Chentoufi, 1st year PhD student in Finance-Insurance (CREST-GENES)
- Emma Bonutti d’Agostini, 1st year PhD student in Sociology (CREST-GENES)
- Yiyun Zheng, 2nd year PhD student in Economics (CREST-Ecole polytechnique)
- Clara Carlier, 3rd year PhD student in Statistics (CREST-GENES)
With the participation of Prof. Emmanuelle Taugourdeau, Research Director at CNRS and Deputy Director at CREST, all four PhD students answered some questions about the PhD program: how would they describe it, what is of importance in a PhD and their recommendations to future PhD students.
All videos are now available on the CREST’s YouTube account.
We want here to promote the interview highlights that key points of all interviews in one.
Below, you will find all videos available in the scope of the Beyond the PhD video series 2.
Une interview de Vianney Perchet, coordinateur du projet BOLD, qui vise à améliorer l’apprentissage séquentiel
Une interview de Vianney Perchet, coordinateur du projet BOLD, qui vise à améliorer l’apprentissage séquentiel
18.04.2024
Une interview de Vianney Perchet, coordinateur du projet BOLD, qui vise à améliorer l’apprentissage séquentiel
Une interview de Vianney Perchet, coordinateur du projet BOLD, qui vise à améliorer l’apprentissage séquentiel
18.04.2024
Arnak Dalalyan and Vianney Perchet nominated as new members of the editorial board of the journal “Foundations and Trends® in Machine Learning”.
Arnak Dalalyan and Vianney Perchet nominated as new members of the editorial board of the journal “Foundations and Trends® in Machine Learning”.
Arnak Dalalyan and Vianney Perchet nominated as new members of the editorial board of the journal “Foundations and Trends® in Machine Learning”.
Arnak Dalalyan and Vianney Perchet nominated as new members of the editorial board of the journal “Foundations and Trends® in Machine Learning”.