Black-scholes and volatility: 2026

created an implied volatility algorithm with numerical root finding and plotted volatility curves and surfaces

tools: numpy, scipy, matplotlib, yfinance, pandas, datetime

NGS Secondary Analysis PIpeline: 2024

Made for the UCLA Pellegrini Lab, it is a secondary analysis pipeline for canine genetic mutations, targeting large indels.

Tools: fastp, gatk, picard, bowtie2

Levey-Jennings Generator: 2022

Made for sterling pathology, helped with QC of assays by plotting them against means and +/- 1,2,3 std dev.

libraries: Pandas, matplotlib, numpy, statistics, datetime

COVID GUI: 2022

Made for Sterling pathology, created a graph detailing the number of positive, negative, and retests in the sample. first experience in app design.

libaries: tkinter, pandas, numpy, matplotlib

N2SSWTSW: 2021

Made for My english class during hybrid learning. Ensured no two sentences started with the same words.