I develop and use a variety of novel methods to gain insights into quantum systems. Intertwined with this, I work on numerous open source software and high-performance computing projects. For example, I've written a quantum monte carlo code (in Julia) to study metallic quantum criticality on Germany's fastet supercomputer, I've used machine learning to identify phase transitions and non-Fermi liquid physics, I've used the functional renormalization group to study the effect of interactions in graphene, and I've used a quantum computer to run parallel quantum chemistry simulations.