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Global Perspective

Innovation begins when diverse perspectives meet; and I've been fortunate to gather them from around the world.

My journey as a data scientist and creative thinker has been deeply shaped by international experiences. From early student exchanges to academic collaborations and global competitions, each country I’ve connected with has offered new ways to see problems, cultures, and solutions. These moments have taught me that insight knows no borders, and that learning happens wherever curiosity takes you.

United States

From childhood exchanges to award-winning data science competitions, the U.S. has played a major role in my personal and professional growth.

ThinkOnward: First Place in Dynamic Rhythms challenge

Won first place in the challenge with a machine learning model designed to predict power outages due to extreme weather.

  • Developed a real-time forecasting mechanism with a focus on explainable AI, balancing performance and interpretability in high-impact contexts.

  • Proved that even without domain expertise, data can serve as a translator to understand and solve complex real-world problems.

Stanford Course

Completed the online course “Machine Learning with Graphs” from Stanford University, deepening my technical knowledge in graph-based models and neural architectures like Graph Neural Networks, GraphSAGE, and GAT.

  • Gained tools to model complex, unstructured relationships in data, particularly valuable in domains with non-obvious connections.

  • Reinforced my commitment to rigorous and impactful applications of AI.

Kaggle: First Place in Meta Kaggle Hackathon

First place in the Meta Kaggle Hackathon with my close friend Diego Alfonso Meza Corona, developing Echoes of Interest, a recommender system powered by Doc2Vec and user interaction data.

  • The system uncovered underexposed but relevant datasets and modeled latent patterns of curiosity across Kaggle users—offering a fresh way to enrich content discovery and community engagement.

  • The project exemplified how data science becomes more powerful when interpreted through multiple lenses, combining technical strength with creative storytelling.

Elementary student Exchange

Attended a student exchange program in Wisconsin during elementary school, an early experience that expanded my worldview and independence.

Uruguay

In Uruguay, I had the opportunity to present a project that merges artificial intelligence with food engineering; an intersection full of creative and scientific potential. The presentation took place at the Universidad Católica del Uruguay (UCU) as part of a collaboration with ITESO, and it became a powerful space for dialogue, exchange, and discovery.

Research
  • Delivered a talk titled “Cuando la Inteligencia Artificial Conoce la Comida”, exploring the applications of AI in food innovation, alongside collaborator Raquel Zúñiga.

  • Demonstrated how combining AI with knowledge from other disciplines—like food engineering—can lead to unconventional and innovative solutions.

  • Highlighted the value of multidisciplinary thinking and how approaching problems with diverse perspectives can uncover new possibilities.

  • Reflected on the importance of knowledge sharing, showing how collaborative dialogue leads to more creative and effective outcomes.

  • Engaged in enriching conversations with researchers and experts, reaffirming the potential of AI to impact both everyday life (like food) and more complex domains (like product development).

Canada

Our work in AI and food innovation led us to Canada, where I had the opportunity to present at a truly inspiring international conference. The event, titled “Quand l’IA rencontre le monde de l’alimentation”, was organized by INAF – Université Laval, and it offered not just a stage for ideas, but a space for meaningful exchange and academic connection.

Research
  • Presented the AI + Food project alongside Dr. Raquel Zúñiga, sharing research on how machine learning and optimization techniques can support innovative food development.

  • Engaged with researchers and participants through insightful questions and discussions that expanded the original scope of the presentation.

  • Highlighted the power of international and interdisciplinary collaboration in creating real, transformative solutions for our food systems.

  • Built connections with leading experts like Jean-Pierre Clement and Jennifer Larouche, fostering future opportunities for academic exchange and shared innovation.

  • Gratefully acknowledged Université Laval, the INAF team, and especially Arturo Duarte Sierra, whose professionalism and warmth helped create a collaborative environment where new ideas could flourish.

Czech Republic

My academic path led me to a research lab summer internship in the Czech Republic, where I explored the intersection of biology and data science.

The beginning

Conducted a Research Lab Internship focused on plant physiology, specifically studying nitrogen uptake and assimilation under drought conditions.

Combined laboratory work with data analysis to understand how nutrient absorption and water stress impact plant transpiration.

France

My first mature taste of international exchange came during high school, when I spent time in France. It was a formative experience that sparked my interest in culture, language, and cross-border understanding.

Paris and Nantes thanks to CEDI
  • Participated in a high school exchange program, immersing in French language and daily life.

  • Developed early awareness of cultural differences and the value of perspective in communication.

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