I'm a computing enthusiast with a solid background in physics, and I'm passionate about the intersection of these two areas. Always looking for ways to make a difference, I'm currently on the lookout for new challenges, so feel free to get in touch if you think we could work together.
Most recently, I have been a Data Engineer at ClimateAi, a startup focused on achieving climate resilience in agriculture through the use of big data and AI.
Before that, I did my master studies in Physics at ETH Zürich, where I wrote a thesis on GPU simulations of lattice QCD (the theory of quarks and gluons), and studied topics such as quantum information, computational physics, and high-performance computing.
In 2021, I completed my undergraduate 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.
Contact me at juanfernandezdlg[at]gmail[dot]com.