I´m currently a 5th year Physics Ph.D. candidate at Columbia University. I’m working under the direction of Professors Yasutomo Uemura and Abhay Pasupathy, on condensed matter physics and being supported by NSF through a PIRE grant to study unconventional superconductivity using two techniques: muSR (muon spin rotation) and STM (Scanning Tunneling Microscopy).

From the computational side, I have experience on ab-initio (DFT) calculations using VASP, LMTART and Quantum Espresso. In spite the inherent limitations of LDA to treat strongly correlated systems, from a qualitative point of view they’re useful. I use Python scripts to extract the relevant information from the calculations as needed.

Before joining Prof. Pasupathy's and Prof. Uemura's groups, I used DFT extensively to understand its limitations for strongly correlated systems, and tried to adapt simple Hubbard and then more elaborated Anderson models to these systems in order to predict some of their thermodinamical quantities. It turned out to be very difficult to do, but gave me a great deal of experience using Python along with the scientific library scipy.

I have been using Monte Carlo simulations in C++ to study Muon Spin Rotation time spectra for different magnetic configurations. It is always exciting to see your numerical predictions be reflected in the experimental data... It is work in progress as I have yet to include more realistically the effects of time dependent magnetic fluctuations and stray fields of intertwined paramagnetic/magnetic domains.