I help organizations understand and leverage their quantitative information. Call it what you will: data science, machine learning, or statistics; the modern technological world lies at the intersection of mathematics and computing, and that’s where I like to play.
I’ve worked with Stage 1 start-ups and publicly traded corporations, building models, establishing codebases, and providing mathematical expertise to developers. My mother tongue is Python, but I also speak R and Matlab. I have experience working with scikit-learn, Tensorflow, pandas, and many other popular data analysis and machine learning libraries.
I have a bachelors degree in Physics from Reed College, where I did my thesis on measurement of quantum entanglement in optical systems. After spending some time pursuing other interests,1 I began working on my Ph.D. in Applied Mathematics at University of Colorado. My dissertation covers a range of topics in statistics, data analytics, and understanding noisy systems. For more details on all that, check out my portfolio, or take a look at my resume.
Currently, I work with FullContact, helping design and implement the algorithms used for identity resolution in their graph database.