Académie des technologies

Siham EL GARROUSSI

  • Scientist
  • ECMWF
  • 30 years old
  • Sponsored by Florence RABIER in 2024

Why a career in tech?

I am intrigued by how technology continually reshapes our lives and drives innovation. The tech sector offers endless opportunities to solve complex problems and make a significant impact on society and industries.

Your professional experience?

I first studied applied mathematics, then engineering. I was captivated by the precision of weather forecasting and the possibility of predicting weather events with accuracy. This sparked my desire to specialize in meteorology to explore the mathematical principles underlying these forecasts. Subsequently, I ventured into computation and artificial intelligence, aiming to leverage artificial intelligence to tackle environmental challenges and further refine our ability to predict and manage environmental hazards.

Your first experience with technology?

My first professional role was at the Moroccan weather service, where I specialized in integrating observations from automatic stations into the ALADIN forecasting model. This involved utilizing 3D variational data assimilation techniques to understand how these observations could improve forecast accuracy.

What do you do today, and why?

Today as a scientist, I work on analysing environmental risks by identifying their underlying drivers and exploring how they can be mitigated, using artificial intelligence. I chose this path because it combines my deep interest in environmental science with my expertise in AI, allowing me to contribute to sustainable solutions that address pressing global challenges.

Your strengths in this role?

In this role, my background in big data and artificial intelligence, particularly for geophysical applications, complements my ability to handle extensive datasets and apply complex statistical analyses. I possess strong programming skills in Python and UNIX shell scripting, which enable me to operate effectively on high-performance computing platforms. My ability to develop innovative solutions and adapt quickly to new challenges is crucial for my role.

Past challenges, failures and disappointments?

In my career, I have faced several challenges and setbacks that have been essential to my professional growth. Early in my career, I was involved in a smart city project designed to mitigate load shedding through an 'intelligent' power supply system. We aimed to establish a robust cloud and big data infrastructure, incorporating technologies like Kafka, Spark, Hadoop, Kibana, and ElasticSearch. Despite our collective expertise, the project encountered significant challenges. Our team had diverse opinions on the setup, which led to delays as different configurations were proposed but not fully implemented. Additionally, we faced issues with data integrity, as some of the data turned out to be corrupted, which further complicated our efforts. This experience taught me the importance of unified team direction, rigorous data validation, and the need for flexible yet decisive project management. Overcoming these obstacles was crucial and provided me with deep insights into handling complex technology integrations and team dynamics.

Best moments, successes you’re proud of?

One of my proudest achievements was successfully managing to submit a project deliverable a month early under challenging circumstances. Initially, due to communication issues within the project consortium, there was a pressing need to expedite the process. By prioritizing my tasks and strategically coordinating efforts across different teams, I led the project deliverable to an early completion. Another moment I hold in high regard was the development and implementation of an agricultural recommender system, which was a project very close to my heart. This system leverages AI to provide farmers with data-driven advice on crop management, soil health, and resource allocation. Seeing this tool go from a concept to being actively used with a tangible impact on agricultural productivity has been immensely gratifying. It reaffirms my passion for using technology to solve real-world problems and improve lives.

People who helped, influenced -or made your life difficult?

Throughout my career, I have been fortunate to work with many inspiring colleagues who have helped shape my professional journey. In particular, I had a supervisor who introduced me to advanced methods in uncertainty quantification. Beside his outstanding professional background, he is always ready to lend a hand and committed to making a positive difference in the lives of those around him. Additionally, I have encountered challenging team dynamics which have sharpened my ability to assess environments and make strategic decisions, ensuring that I am where I can make the most impact and continue to grow professionally.

Your hopes and future challenges?

Looking ahead, I'm eager to deepen my involvement in projects that integrate artificial intelligence with environmental science. My hope is to drive innovations that not only enhance predictive accuracy in environmental modelling but also facilitate more effective, data-driven responses to climate challenges. A key challenge will be ensuring these technologies are accessible and effectively implemented across diverse global settings, particularly in regions most vulnerable to climate change. This effort requires technological advancements as well as collaboration across various disciplines and cultures, a challenge I am excited to tackle.

What do you do when you don’t work?

When I'm not working, I dedicate time to volunteering with programs that teach coding to underprivileged children. It's incredibly rewarding to share my knowledge of technology and see it spark curiosity and confidence in young minds. Additionally, I pursue my passion for photography, capturing the natural world through my lens.

Your heroes -from History or fiction?

Alan Turing and Al-Khwarizmi are historical figures who deeply inspire me because of their groundbreaking contributions to computing and algorithms. Al-Khwarizmi, often called the "father of algebra," set the stage for algorithmic problem-solving in the 9th century, crafting methods that underpin modern computer science. On the other hand, Alan Turing, a 20th-century mathematician, developed the concept of the Turing machine, which has been fundamental in shaping today's digital world. Their innovative spirits and lasting impacts on technology make them true heroes in my eyes.

A saying or proverb you like in particular?

"Make your life a dream, and a dream a reality." - Antoine de Saint-Exupéry. This quote encourages us to aspire beyond the ordinary, to dream big, and then to take the steps necessary to turn those dreams into our lived experiences. It speaks to the power of vision and action in shaping our lives.

A book to take with you on a desert island?

“Meditations” by Marcus Aurelius. This book, composed of the Roman emperor's private thoughts and reflections, delves deeply into Stoic philosophy, offering guidance on how to face adversity with resilience and maintain inner peace despite external circumstances.

A message to young female professionals?

Don't let other people or societal biases discourage you from pursuing your passions. Surround yourself with supportive and empowering individuals who will encourage you. Keep pushing yourself to be the best you can be and be confident about taking risks and trying new things.

THE CHATELET
QUESTIONNAIRE

The questionnaire answered by the Women of Tech is a variant of the Proust questionnaire, named not because Marcel Proust got lost in the Paris metro, but in memory of Emilie du Chatelet, a woman of letters, mathematician and physicist, renowned for her translation of Newton's Principia Mathematica and the dissemination of Leibniz's physics work. She was a member of the Academy of Sciences of the Bologna Institute. Emilie du Chatelet led a free and fulfilled life during the era of the Enlightenment and published a speech on happiness.

Emilie Du Chatelet

Woman of letters, mathematician and physicist

1706 - 1749