Working with a collaborative team of scientists across disciplines of neuropharmacology, sensory neurobiology, and computational neuroscience to understand processing of biologically relevant sounds in the primary auditory cortex of Mexican free-tailed bats

Utilizing data-driven approaches involving digital signal processing, bioacoustics, and neural time-series analysis to analyze interactions among different neuronal subpopulations that contribute to auditory feature extraction and object discrimination

Proficient in python libraries for data pre-processing, analysis and visualization (Numpy, Pandas, Scipy, Matplotlib), as well as machine learning libraries (scikit-learn)

Proficient in MATLAB for data input and output using external devices, scientific data analysis, visualization, and deep learning applications