I’m a cancer biologist with a research background in cancer epigenetics. During my time in the lab, I’ve enjoyed applying my diverse technical skill set to research problems and implementing new methods.
I participated in the Insight Health Data Science Program in Boston, where I built an app that uses machine learning to help doctors predict patient medication adherence! Check it out in my portfolio site (showcase link at the top of the page)! When I’m not at the bench or buried in a Python project, I enjoy cooking, traveling, and indoor gardening.
Thanks for visiting!
Updated Apr. 23rd, 2023
PhD in Pharmacology, 2018
University of Rochester Medical Center
BS in Molecular Biology, 2012
University of Wisconsin - La Crosse
pandas, numpy, scikit-learn, seaborn, beautifulsoup, sqlalchemy, PyCharm
cloning, CRISPR, plasmid customization
data cleaning, web scraping, prediction and classification models, cross-validation
PyCharm, Git, Jupyter, R Shiny
cell culture, cell-based assays, lentiviral transduction, shRNA & overexpression
flow cytometry, primary bone marrow cell culture & assays, mouse leukemia models
I’m currently working on a portfolio of Python data science projects! You can check out my projects showcase here.
.js-id-Page through to view my PhD thesis!
black, green, white, all the colors!
oregano, basil, rosemary, thyme
optimizing cooking protocols, one day at a time
Spain, Japan, Ireland, France