- Used Python to build machine learning-based quantitative structure-activity relationship (QSAR) models to screen compounds in the CHEMBL database for use in treating drug addiction.- Published findings in a project using machine learning-based QSAR models to perform high-throughput counter-screening of drugs affecting the dopamine transporter against the human ether-a-go-go-related gene (hERG).- Performed molecular docking simulations using Schrodinger Glide software to test novel drug compounds for possible binding activity to the dopamine transporter.

Advisor: David Fushman, PhD.- Designed proprietary software using Matlab to accelerate research productivity by automating experimental data analysis of NMR spectroscopy peak assignments.- Purified protein products through various ion exchange chromatography methods.- Performed expression tests to verify protein products using SDS-PAGE.

- Developed and published PARNMR software programs in GenApp using Python and Javascript that can be used for data analysis of nuclear magnetic resonance (NMR) spectroscopy data.