Ana Vielma

I attribute my success to two things: courage and curiosity.

Leaving my country to pursue a PhD in a new language, with no support system, forced me to grow quickly. But what truly made the difference was learning to stay curious and open-minded.

Over time, I realized that the more you learn, the more you understand how much you don’t know. That mindset keeps you evolving.

I’ve also learned that success is not just about technical knowledge, but about developing soft skills such as clearly communicating complex ideas to different audiences, adapting to unfamiliar situations, and working with people from different backgrounds.

One of the best pieces of advice I’ve received is: “Don’t try to follow a perfect path, build your own by learning from everything.”

That idea changed how I approach my career. Instead of focusing on whether an experience fits a predefined plan, I focus on what I can learn from it.

Over time, I’ve realized that the most valuable skills often come from unexpected places, and that seemingly unrelated experiences can become your greatest strengths.

<ol><li>Don’t wait until you feel ready to step into opportunities; growth happens when you challenge yourself beyond what feels comfortable.</li><li>This industry can be complex and sometimes intimidating, but your perspective has value from the beginning. Confidence is not something you have before you start; it’s something you build by doing.</li><li>And finally, and most importantly: <strong>Be yourself, stay authentic, and don’t be afraid to show your own light, even when it doesn’t fit the crowd. </strong>Society often promotes a narrow definition of success, and I believe that’s limiting. As Einstein said, <em>“Insanity is doing the same thing over and over again and expecting different results.” </em>Our individuality is what truly drives change and innovation. Thus, don’t feel pressured to follow the ideal or expected path, <strong>your uniqueness is your strength.</strong></li></ol>

One of the biggest challenges in our field, and in modern society more broadly, is how we integrate machine learning and artificial intelligence responsibly.

While these technologies offer powerful capabilities, they also raise important questions around ethics, validation, and quality. In many cases, decisions are being made based on models that are not fully understood or properly tested.

In our field, this includes challenges such as distinguishing true relationships from spurious correlations, separating signal from noise, and ensuring models are reproducible rather than overfitted to limited datasets. Models can appear robust on paper, while key assumptions and validation metrics remain hidden or insufficiently examined, especially as access to these tools becomes more widespread.

At a broader level, the ability to generate highly realistic images, videos, or even signatures is already challenging our ability to distinguish what is real from what is not.

This creates a critical need for frameworks that ensure transparency, rigorous validation, and accountability. Without them, we risk placing confidence in results that may not be reliable.

Curiosity, continuous improvement, and collaboration are at the core of how I approach both my work and personal life.

I enjoy solving complex challenges and constantly look for better, more efficient ways to approach them. Even in routine tasks, I try to find opportunities to improve and create value.

I also place a strong emphasis on communication and teamwork. Truly effective collaboration requires listening, understanding different perspectives, and aligning toward a common goal.

Finally, giving back is very important to me. I’ve benefited from the support of mentors throughout my journey, and I believe in creating that same opportunity for others.