A motivated, skilled PhD physicist with comprehensive programming experience, a strong problem-solver with skills in data visualization, and a bias towards action.
Python ★ ★ ★ ★ ☆
R ★ ★ ★ ★ ☆
Javascript ★ ★ ★ ☆ ☆
Illustrator ★ ★ ★ ☆ ☆
Java ★ ★ ☆ ☆ ☆
SQL ★ ★ ★ ★ ☆
Matlab ★ ★ ★ ★ ☆
Git ★ ★ ★ ★ ☆
Linux ★ ★ ★ ★ ☆
\(\LaTeX\) ★ ★ ★ ★ ★
Spark ★ ★ ★ ☆ ☆
Tableau ★ ★ ★ ☆ ☆
HTML/CSS ★ ★ ★ ☆ ☆
Excel ★ ★ ★ ★ ☆
Built Jamify, a recommender of songs for musicians to play based on listening interests and skill level.
Developed a Python-based recommendation engine using latent semantic analysis and logistic regression models to predict song difficulty using data from the million song dataset and online music notation.
Built a front end using Python, Flask, HTML, CSS, Javascript, D3, and stored data (40 million rows) in PostgreSQL database.
Developed theories, validated in simulations, and performed experiments to build 2D surfaces that efficiently manipulate the polarization of light that resulted in 4 first-author publications in high impact journals.
Co-developed and taught ``Physics for Computer Scientists II”, which built students' understanding of causal inference and communication of results using Python and Matlab.
Encoding information by making light into fractals.
Understanding why gold nanorods move in unintuitive ways when excited by light.
Aligning gold nanoparticles with light and magnetic fields.