Juan Fernández de la Garza

I'm a physicist and computing enthusiast with extensive experience in research projects and software development in both academia and industry. I am currently pursuing a PhD in Lattice QCD at the University of Bern, where I am working on the analysis of complex non-perturbative phenomena in quantum field theories using high-performance computing.

Previously, I was working as a Data Engineer at ClimateAi, a startup focused on achieving climate resilience in agriculture through the use of big data and AI. I was responsible for the design and implementation of new robust data pipelines, automatically processing weather data from various sources on a 6-hourly basis.

Before that, I did my master studies in Physics at ETH Zürich, where I wrote a thesis on GPU simulations of lattice QCD and worked on the first interface of openQxD with the QUDA library. I also studied topics such as quantum information, computational physics, and high-performance computing.

In 2021, I completed my bachelor's degree in Engineering Physics at Tec de Monterrey, where I contributed to research projects in computational optics, resulting in two publications (DOI:10.1088/2040-8986/abf026, DOI:10.1117/12.2596626). During my studies, I also did a summer lab course on micro- and nano-fabrication at MIT and engaged in computational biology research as part of our iGEM 2018 team.