Curriculum vitae | Google scholar | GitHub | PhD Thesis
I am a physicist working in neuroscience and biophysics, and I have a PhD in condensed matter physics.
Skills/keyworks
- optics: continuous-wave and pulsed lasers, building nonlinear optical devices, building custom microscopes
- neuroscience: optogenetics, calcium imaging, whole-brain functional connectivity mapping (experiments and theory)
- molecular biology: cloning, plasmids, transgenics
- physics: condensed matter physics, nonequilibrium dynamics in strongly correlated materials (experiments and theory), quantum optics, computational studies and numerics
- programming: Python, C/C++, LabView, Matlab
In my postdoc at Princeton, I measured whole-brain functional connectivity in the nematode C. elegans, and as a '22 Grass Fellow at MBL I am studying the nervous system of the rotifer B. manjavacas. To study how signals are processed in the brain, I use femtosecond lasers, custom microscopes that I build, transgenics, as well as theoretical and computational methods. To interpret the experimental data I collected in my postdoc, I developed a theoretical framework based on nonequilibrium Green's functions, adapting to neuroscience mathematical tools used in condensed matter physics.
Before neuroscience, I worked on strongly correlated materials and ultrafast phase transitions. I studied the nonequilibrium Verwey transition in magnetite and nonequilibrium dynamics in cuprate superconductors, I showed with experiments and theory how to study the thermalization dynamics in coherent vibrations in solids, via the integration of pump-probe experiments and quantum optics methods. I also proposed an experimental scheme to bypass the time-energy uncertainty in time-resolved photoelectron spectroscopy.
