Welcome to my personal website!

I’m a data scientist with a background in physics and computer science.
I’m interested in modeling, machine learning, and generally building things with data.









Open Source Contributions


ClimbeR R Package:


Cookiecutter-data-science:

As part of a “Data Science for Good” initiative with MassMutual, I worked on a team that added an optional example Data Science pipeline to new projects. Users new to Data Science can opt into an accessible, fully functional sample project which ingests a dataset, applies a model, and measures performance with a make command.



Tutorials


GWIS GRiD Workshop

One of a series of tutorials held by the GWIS (Graduate Women in STEM)


Five College DataFest



Projects


Transfer Learning for Automated Discovery of Artistic Influence

Final project for Computer Vision CS670. Infering artistic influence with Tensorflow + mobilenet.