About us

Hi! PARIS is the center dedicated to Data Analytics and Artificial Intelligence (AI) for Science, Business, and Society, created jointly by the Institut Polytechnique de Paris and HEC Paris. Our activities are organized around three pillars: research, education, and innovation.

The Hi! PARIS Engineering team plays a vital role in supporting, enhancing, and contributing to each of these pillars.

  • The Hi! PARIS Engineering team supports cutting-edge research by developing open-source code and providing end-to-end assistance on Data Science projects. 
  • In education, they enhance AI and data science programs by creating practical tutorials, mentoring students, and organizing impactful data events. 
  • Within innovation, they collaborate with start-ups and scale-ups, offering technical expertise and infrastructure support to drive AI advancements and entrepreneurial growth.

Meet the Team

Gaëtan BRISON

Lead Machine learning engineer

Awais SANI

Senior Machine Learning Engineer

Pierre-Antoine AMIAND-LEROY

Machine Learning Engineer

Laurène DAVID

Machine Learning Engineer

Hadrien MARIACCIA

Machine Learning Engineer

You are a faculty, a researcher or a student. You wish to contribute to an ongoing project.
Feel free to contact the Hi! PARIS Engineering Team!

articles on Medium

Towards Data Science

Denoising radar satellite images using deep learning in Python. How to tackle inherent interferences of radar satellites?

Research Papers

Speech Self-Supervised Representation Benchmarking: Are We Doing it Right?

Research Papers

Speech Self-Supervised Representation Benchmarking: Are We Doing it Right?

Research Papers

Towards Data Science

Denoising radar satellite images using deep learning in Python. How to tackle inherent interferences of radar satellites?

Research Papers

Speech Self-Supervised Representation Benchmarking: Are We Doing it Right?

Research Papers

Speech Self-Supervised Representation Benchmarking: Are We Doing it Right?

Get in Touch

Campus Telecom Paris, Palaiseau - 5A101

Address

+33(0)1 75 31 92 16

Phone

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