Sergio Solorzano

Sergio Solorzano has a wealth of experience in research, development, and teaching. From 2018 to the present, they have worked as a Researcher/Developer at Exeon Analytics. From 2014 to 2018, they worked at ETH Zurich as a PhD Researcher, where they developed a novel numerical approach for the Wigner transport equation and a novel numerical approach to density functional theory using Lattice Boltzmann methods. Sergio also served as a Teaching Assistant for the Computational statistical physics lecture, where they clarified students' doubts and provided feedback on coursework assignments. From 2012 to 2014, they were a Teaching Assistant at Universidad Nacional de Colombia, where they gave exercise lessons for the Classical electrodynamics course and assisted with the junior electricity and magnetism experimental course. From 2010 to 2012, they worked as an English Translator at Editorial Panamericana (Colombia).

Sergio Solorzano has an extensive education history. From 2007 to 2011, they received a Bachelor's degree in Physics from Universidad Nacional de Colombia. Sergio then went on to receive a Master's degree in Physics from ETH Zürich in 2013-2014. Finally, they received a Doctor of Philosophy - PhD in Computational Physics from ETH Zürich in 2014-2017. Additionally, they have obtained several certifications, including "Bayesian Statistics: From Concept to Data Analysis (with Honors)" from Coursera in September 2018, "Intro to SQL for data science" from DataCamp in July 2017, and "Probabilistic Graphical Models 1: Representation" from Stanford University on Coursera in June 2017.