Designed and developed PyFibers, an open-source Python package for standardized, validated simulation of biophysically realistic nerve fiber responses to time-varying electric fields in NEURON, improving reproducibility and accessibility and enabling >100× reductions in simulation code and >50% faster threshold searches. Authored documentation, validated models, and managed production branch merges.

Designed and developed a graphical user interface (GUI) for ASCENT, an open-source computational modeling pipeline for electrical stimulation of peripheral nerves. Utilized Python to develop a GUI for software installation and for creating and validating user inputs.

Refactored core elements of ASCENT by integrating wmglab-neuron package to optimize ASCENT’s peripheral nerve simulations.

Utilized Python to understand the effect of spinal cord stimulation in treating chronic back pain by creating a computational model of the dorsal column horn, which is responsible for processing pain perception in the spine. Developed computational models of neurons in the spine using the NEURON package in Python to understand how changing stimulation parameters affect the neuronal circuitry that modulates pain perception.

Prepared results for presentations and communicated improvements to the team and lab's principal investigator.

Observed Dr. Bosco use empathy and knowledge of each patient’s life to help alleviate their emotional pain, in addition to their physical pain.

Learned about the anatomy of the knee and shoulder, symptoms of various injuries and their treatments, and how to read x-rays and MRIs, as well as how to clearly explain them to patients.

Studied yeast to model disease and reveal gene interaction networks that inform precision medicine

Utilized R to conduct statistical research and create data visualizations for the lab. Taught R to lab director

Learned lab techniques, such as pipetting, using a PCR machine, and preparing agar plates for tests through observing graduate students