Miguel Paço

I’m a theoretical physics researcher who contributed to “MATinMOL - Matter waves in Moiré lattices,” where I explored how to connect complex quantum models to experimental realities. I wrote Python code to simulate complex nonlinear quantum systems and used that work to support my master’s thesis.

In my research, I used Numpy and Matplotlib to process and visualize simulation data. I focused on studying how to transform the theoretical system to an experimental setting, culminating in my thesis, “Bose-Einstein Condensates in asymmetric quasi-periodic lattices.”

In parallel, I work as an R&D Technician at Arfit Climatização, developing internal tools for simulation and calculation of machine properties. I model the behavior of technical parts and machines, analyze and represent internal technical data, and document and analyze the product development cycle.

My technical toolkit spans scientific computing and modern ML frameworks—Python, Tensorflow, PyTorch, and SQL—along with visualization and reporting through Matplotlib and PowerBI. I also bring applied engineering skills (Solidworks, ZWCAD) and cloud capability with AWS, and I enjoy mentoring and leadership as an assistant taekwondo coach.