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Jeremie Dona

Jeremie Dona


AI Research Scientist
Paris, Ile-de-France, France

Professional Overview


Jeremie Dona is an accomplished AI Research Scientist with a strong background in machine learning and a demonstrated track record of driving innovation in the energy and finance sectors. He currently applies his expertise to push the boundaries of artificial intelligence as part of the research team at InstaDeep.

Experience Summary



Current Role


As an AI Research Scientist at InstaDeep, Jeremie is responsible for conducting cutting-edge research in the field of deep learning and reinforcement learning. He collaborates with cross-functional teams to develop novel AI models and algorithms that enhance the company's product offerings. Jeremie's contributions have helped InstaDeep maintain its position as a leader in the AI industry.

Career Progression


Prior to joining InstaDeep, Jeremie held various research and engineering roles that honed his skills in machine learning and its practical applications. As a PhD Student at Sorbonne Universités, he specialized in developing advanced AI techniques to optimize energy systems. Earlier, he served as an Ingénieur en apprentissage machine at Elum Energy, where he applied his expertise to improve the efficiency of renewable energy solutions. Jeremie also gained valuable experience through internships at Hiram Finance and the Food and Agriculture Organization (FAO), where he explored the use of machine learning in the financial and agricultural domains.

Academic Background


Jeremie holds a PhD in Computer Science from Sorbonne Universités, where he specialized in the application of machine learning to energy systems optimization. His research work during this time has contributed to advancements in the field and has been recognized through various academic publications and presentations.

Areas of Expertise


  • Deep learning and reinforcement learning

  • Optimization of energy systems

  • Machine learning in finance and agriculture

  • Interdisciplinary research and collaboration

  • Project management and team leadership


Professional Impact


Jeremie's research has had a tangible impact on the industries he has worked in. At Elum Energy, his machine learning models helped improve the efficiency of renewable energy solutions, contributing to the company's growth and environmental sustainability. During his time at the FAO, Jeremie's work on using machine learning for agricultural applications demonstrated the potential for AI to address global challenges in food security and resource management.

Conclusion


With his strong academic background, diverse industry experience, and proven ability to drive innovation, Jeremie Dona is a valuable asset in the field of artificial intelligence. As an AI Research Scientist, he continues to push the boundaries of what is possible with machine learning, contributing to the advancement of the field and making a meaningful impact on the industries he serves.