🎓 Trained as a Mathematical Engineer at the Institut National des Sciences Appliquées de Rennes (INSA Rennes), I’ve built a rigorous foundation in mathematical modeling, statistics, and algorithmic thinking. Alongside this, I gained hands-on proficiency with essential tools such as Python, R, MATLAB, SQL, Scala, and C++, empowering me to transform complex data into actionable insights. This is the link to my github: https://github.com/julesrostand1998
💡 My professional journey began with data science internships, where I applied theoretical knowledge to real-world challenges—ranging from predictive modeling to process optimization. These experiences sharpened not only my technical edge but also my soft skills: navigating cross-functional teams, adapting to fast-moving environments, and communicating complex ideas with clarity and impact.
🎓 Currently wrapping up my PhD in Data Science at the National Taiwan Normal University, I specialize in advanced training strategies for Vision Transformers (VTs). My research focuses on enhancing model robustness and generalization when training data is scarce—a critical challenge in deploying AI in practical, high-stakes scenarios. This work blends deep learning, optimization, and an ongoing fascination with how to make models more efficient and reliable under real-world constraints.
🌏 As a multilingual communicator fluent in French, English, Mandarin Chinese, and Spanish, I bring cultural agility and a global mindset to every collaboration. My adaptability has been forged through international education and research, enabling me to thrive across diverse teams and projects.
🌱 I’m now actively seeking a Data Scientist role in Taipei, particularly in the healthcare or sustainability sectors. I’m driven by the idea that data science isn’t just about building models—it’s about solving meaningful problems, improving lives, and shaping a smarter, more sustainable future.
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