I graduated with highest honors from UC Davis in 2017 with two bachelor degrees - Computer Science and Computational Mathematics. Throughout my undergraduate career, I have developed a strong foundation in machine learning, optimization, numerical analysis, and algorithm development. Moreover, In 2016 I began working as the Senior Systems Tech for Forage Genetics Int, the world leader on genetically engineered alfalfa. There I introduced systems for both streamlining their data analytics with Tableau and lab processes with a custom-made LIMS. I have also developed a predictive model for auto tetraploid dosage calling using a mixed semi/full supervised machine learning model. Over the next year my plans include executing the development of a new data science division at Forage Genetics, while continuing my education at UC Davis with a plan to get my Master's degree in May 2018. Access my full CV and transcripts here.
Software and Tools I've Developed for Work and School
A Math Theorem classifier using NLP to classify theorems off wikipedia according to their terminology.
A decision support tool using Tableau and R data analytics to support breeding decisions at Forage Genetics.
A Java Based LIMS system that tracks and expedites lab processes by communicating with the lab equipment.
An auto-tetraploid dosage caller. Trains on qPCR output of RQ values.
A genetic sequence classifer using Convolutional Neural Networks to classify the 16S gene of microbiota.
A collection of key numerical analysis and optimization algorithms implimented in Matlab.