Irène Balmès, PhD

Lead Data Scientist @ AKUR8

About Irène Balmès, PhD

Irène Balmès, PhD, is a Lead Data Scientist currently working at AKUR8 in Paris, France. With a strong background in astrophysics and data analysis, she has held various roles in data science and research across multiple organizations since 2013.

Work at AKUR8

Irène Balmès serves as the Lead Data Scientist at AKUR8, a role she has held since 2022. In this position, she applies her expertise in data science to develop innovative solutions for the company. Her work focuses on leveraging data analysis to enhance decision-making processes within the organization.

Previous Experience at Kynapse

Prior to her role at AKUR8, Irène Balmès worked at Kynapse as Lead Data Scientist from 2017 to 2022. During her five years there, she contributed to various projects in the Paris Area, France. She also served as a Consultante Data Scientist at Kynapse for nine months in 2016, where she utilized her data analysis skills to support client needs.

Education and Expertise

Irène Balmès holds a PhD in Astrophysics, which she earned from the Observatoire de Paris from 2009 to 2013. Her academic background includes a Master’s Degree in Physics from Ecole normale supérieure, completed from 2005 to 2010. Additionally, she studied Mathematics and Physics at Lycée Louis-le-Grand from 2003 to 2005. This extensive education provides her with a strong foundation in complex data analysis and scientific research.

Research Experience

Irène Balmès has a diverse research background. She worked as a researcher at IFUSP in São Paulo, Brazil, from 2013 to 2015. Before that, she was a PhD candidate at the Observatoire de Paris from 2009 to 2013. Her research experience has equipped her with skills in data analysis and scientific inquiry, particularly in the fields of Astronomy and Astrophysics.

Interests in AI Ethics and Health Sciences

Irène Balmès has a keen interest in AI ethics, emphasizing the responsible use of artificial intelligence in her work. She is also particularly focused on applying data science techniques to health and life sciences, indicating her commitment to leveraging data for societal benefits.

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