Meet Eszter Molnár, an Assistant Professor and PhD in Engineering specializing in Network Science, Data Science, and Complexity Economics at Sapientia Hungarian University of Transylvania. Her research lies at the intersection of data analysis, networks, and economic systems, focusing on understanding and solving the complex challenges of our modern world. 

Eszter’s academic journey, which spans network science, data visualisation, and economic systems, wasn’t just a series of academic milestones—it was driven by passion, curiosity, and the mentorship of an inspiring professor.

Eszter’s path toward her career began during her time at a professional college, where a course on data visualisation caught her attention. It wasn’t just the subject matter that intrigued her, but how the course opened her eyes to the incredible potential of data to solve real-world problems. She was fascinated by the idea that data could offer tangible solutions to some of society’s most complex issues.

This initial exposure to data visualisation didn’t just end with interest—it inspired action. Eszter reached out to the professor who taught the course and asked him to supervise her bachelor’s thesis. It was during this time that she first encountered network science, a field that immediately resonated with her. The more she learned, the more she realised how intertwined data, networks, and economics were, leading her to pursue a PhD that would combine all three.

Throughout her academic journey, Eszter found invaluable support in a professor who taught subjects like Decision Assistance Information Systems, Artificial Intelligence, and Data Science. This professor didn’t just teach—their mentorship helped shape Eszter’s approach to research and her professional growth.

“I would like to sincerely thank my professor for his openness to new ideas and approaches to problem-solving,” Eszter shares. “He gave me the freedom to pursue my research based on my own ideas while always providing expert guidance. He was always there when I needed advice or feedback, and his friendly demeanor made the entire journey more enjoyable.”

What stood out the most to Eszter was the way her mentor treated her as an equal partner throughout her PhD journey. This recognition and mutual respect allowed Eszter to flourish as a researcher and gave her the confidence to pursue her ideas with enthusiasm. The experience not only made her a better scientist but also inspired her to carry forward the same level of support and mentorship to her own students.

For those considering a career in this dynamic field, Eszter highlights a few reasons why Network Science, Data Science, and Complexity Economics are such a great choice:

1. Flexibility: These fields offer diverse opportunities across many industries. Whether it’s in technology, healthcare, finance, or public policy, the ability to apply these skills in various contexts makes for a flexible and exciting career.
   
2. Challenging and Relevant: The rapid evolution of data science and artificial intelligence (AI) makes the field both challenging and incredibly relevant. These technologies are shaping everything from business to healthcare, offering researchers the opportunity to solve some of the most pressing global issues.
   
3. Systematic Problem-Solving: Network science provides a systematic way to analyze and solve complex problems. With the ongoing data revolution, this field allows individuals to approach challenges from an analytical perspective—making it an ideal career choice for those who love solving problems and making a real-world impact.
   

For young girls considering a future in STEAM, Eszter’s advice is simple but powerful:

“Follow your passion and listen to what excites you. Pay attention to the subjects that make your eyes sparkle, and don’t be afraid to pursue them wholeheartedly. Even if you’re the only girl in your research group, as I was, remember that your unique perspective and contributions are valuable. Embrace challenges, trust in your abilities, and know that you belong in this field just as much as anyone else.”

Eszter’s story is a powerful reminder that with curiosity, determination, and the right guidance, anyone can carve their path in the world of network science, data analysis, and complexity economics. As she continues her work at Sapientia Hungarian University of Transylvania, Eszter hopes to inspire the next generation of scientists and researchers—especially women—to pursue their passions and make a difference in the world.