UFF
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Juliana Alves Poustka

Juliana Alves Poustka

Undergraduate Research Fellow (FEC)

Undergraduate Program in Computational Science

Niterói, RJ, Brazil

I am a Computer Science undergraduate at UFF, driven by a strong interest in exploring new technologies and continuous learning. Currently, I am part of a research team dedicated to developing Artificial Intelligence tools for organic facies modeling. My work involves leveraging Machine Learning and Deep Learning techniques to build computational models capable of simulating and predicting organic matter distribution in complex sedimentary environments. This research is integrated into the Resurgence Project (PR4), which focuses on innovative geochemical and sedimentological solutions supported by large-scale geological datasets.

Beyond my technical studies, I am learning Mandarin not just for professional development, but for the intellectual challenge of mastering a language and writing system so distinct from our own. I find that engaging with such a different culture is a transformative experience that reframes my perspective and fosters new ways of thinking and communicating. For me, language learning is a path to personal growth and a gateway to meaningful global connections.

Technically, my primary interests lie in Machine Learning, Deep Learning, Computer Architecture, and Cloud Computing.

To balance the rigors of academic life, I am a sports enthusiast. Whenever possible, I practice volleyball, soccer, handball, and weightlifting (or any other sport that comes my way). I believe that staying active is essential for maintaining both focus and overall well-being.