About me

Introduction

I am a researcher specializing in the development and enhancement of computational optimization algorithms, leveraging advanced techniques such as High-Performance Computing (HPC), Artificial Intelligence (AI), and Big Data. My work is highly interdisciplinary, combining expertise in computer science, mathematical optimization, and engineering to address complex challenges in computational biology, systems biology, and natural resource management.

Throughout my career, I have applied these methods to solve real-world problems, including modeling metabolic pathways and gene regulatory networks, optimizing wildfire suppression strategies, and improving farm logistics. My research focuses on modernizing traditional optimization algorithms by integrating parallel computing, cloud platforms, and adaptive techniques to tackle large-scale and computationally demanding problems.

Collaborating with researchers from institutions in the UK, Germany, Portugal, and Spain has enriched my perspective and fostered innovative approaches in my work. These collaborations have not only expanded my technical expertise but also deepened my understanding of global challenges.

Looking ahead, I aim to continue developing cutting-edge optimization solutions that enable better decision-making, improve efficiency, and contribute to advancements in science and technology. I am always open to exploring new collaborations that align with my expertise in computational optimization and interdisciplinary research.