Aurélie Jean

Computational Scientist and Entrepreneur

Aurélie Jean is a research scientist and an entrepreneur in computational sciences. Her consulting company, In Silico Veritas, builds algorithms and data strategies for a broad range of clients. A goal is also to decrease the gender gap in tech by helping companies improve their diversity.

“We all have biases. They end up in our algorithms.”

Aurélie was raised in France. Her grandfather inspired her when he told her, “you can do anything with math.” She is often the only woman in her work and this is an obstacle but, she contends, it can also be an opportunity because people remember you. She serves as a role model to young women in STEM professions to ensure our future economic development is not mired in technological discrimination. 

“If you want to be an entrepreneur, talk to the people who did it.”

Her AI deep tech startup DPEEX on precision medicine helps increase the survival rate of women with breast cancer by detecting and localizing the tumor up to two years before being visible on a mammography. In an interview with Pourquoi Princesse Aurélie said, “every time I’ve failed at something, I always spent time thinking about what I had learned, which helped me a lot afterwards.”

 

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/   One of my missions is to decrease the gender gap in my industry.   /

Gender equality in STEM promotes equality in business

Women and men in the U.S. and France have similar – and relatively high – comfort levels with the prospect of female leadership. In France, however, a significant shift in attitudes is taking place. Younger people are less progressive in their attitudes towards equality for men and women than their older counterparts, according to the Reykjavik Index or Leadership.

Younger men in France have less progressive views.

The Index was established to quantify levels of comfort in society with the prospect of female leadership. French men aged 18-34 have an index score of 71 vs 76 for men aged 35-54 and a score of 75 for men in the 55-65 age range. (A score of 100 indicates complete agreement that men and women are equally suited to leadership.)

Perception matters. Particularly in technology. In fact, perceptions of women’s suitability for high tech and artificial intelligence went down 3 points in France between 2019 and 2020. They have remained unchanged in the U.S. but only a quarter of the people in computational and math occupations are women. 

Technology can help us create economies that are not mired in the stereotypes that hold women back, but only if there is gender equality among the people writing the programs. Computational scientist Aurélie Jean wants technology to be by everyone, for everyone.  

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