Affiliated researchers
Hi! PARIS support the researchers of HEC Paris, IP Paris schools and Inria Saclay by several means:
- Personal research grants, as Fellowship
- Recruitment of chair holders
- PhD and Postdoctoral Funding Opportunities
- Collaborative and scientific projects
- Engineering Team research projects
The researchers getting support from Hi! PARIS are referred as affiliates of the Center.
The complete list of researchers who accepted to be referrenced as affiliates of Hi! PARIS is available on the dedicated page HERE.
OUR VISIONS OF RESEARCH
// PhD Research to Advance and Adapt AI
After highlighting the perspectives of our chairs and fellows in the first edition, we are now focusing on the PhD students advancing the future of AI, across three main themes: Living with AI, Understanding how AI transforms Business, and Preparing AI for the Future.
An interdisciplinary community of outstanding scientists, who lead pioneering research on AI and data science to develop a strategic vision for economic and public decision makers in France and Europe.
Hi! PARIS unites top-tier researchers dedicated to the study and advancement of AI and Data Science,
encompassing diverse specializations and practical domains. Their scientific breakthroughs will allow new
solutions to thrive in all business sectors whilst creating significant impact on society.
Our interdisciplinary research agenda is driven by our dedication to exploring and creating structures that
facilitate the progress and implementation of AI technologies
// Chairs
13 researchers renowned in their fields, were recruited and allocated funds to build their research teams. They also contribute to education programs and supervise doctoral students, in the following themes: Strategy, Finance, Marketing, Econometrics, Machine learning for computer vision and Reinforcement learning applied to energy.
Klaus MILLER
HEC Paris
Marylou GABRIÉ
Ecole polytechnique
Enzo TARTAGLIONE
Télécom Paris
Julien GRAND-CLÉMENT
HEC Paris
Damien ERNST
Télécom Paris
Radu-Alexandre DRAGOMIR
Télécom Paris
Austin STROMME
ENSAE
Ioannis Stefanou
ENSTA
Luiz Chamon
Ecole Polytechnique// Fellowships
Six selected fellows were appointed for 3 years and allocated a budget to recruit research team members, fund PhD students and support a variety of research activities in the following themes: FinTech, Decision Making, Federated Learning, Econometrics, Computer graphics, Statistical Learning, and Smart Law.
// PostDoc fellowships
From 2023, the Center offers 2-year postdoctoral fellowships for excellent early-career researchers in AI and Data Science.
// PhD theses
The Center offers 3-year PhD funding. The PhD students are meticulously selected for their academic excellence and highly innovative minds in the fields of AI & Data Science. They play a key role in the development and output of cutting-edge research from Hi! PARIS.
// Academic projects
The Center supports the research projects of the affiliated Professors by funding collaborative and scientific projects involving data collection, internships, invited researchers, equipment purchase, meetings and conference
organization.
Hi! PARIS Engineering Team
The team work together with our professors and researchers to produce open-source and reproducible code and to bridge the gap between research and industrial applications, preparing for transition of technologies from academia to real-world applications and driving technology transfer.
The Hi! PARIS Engineering Team is made up of engineers specializing in Data and artificial intelligence. This initiative is intended to bring added value to researchers in the development of their project.
- Support the development of research projects.
- Promotion of reproducible research.
- Support teaching programs (Hackathon, Data Bootcamp…).
- Bring ad hoc expertise to research teams.
- Maintain and deploy a data factory (a development platform).
- Provide the necessary technical resources.
- Promote the work of researchers.
- Capitalize on research projects.
- Encourage collaborations between schools in order to deepen research by mutualizing resources.
The team work together with our professors and researchers to produce open-source and reproducible code and to bridge the gap between research and industrial applications, preparing for transition of technologies from academia to real-world applications and driving technology transfer.