I am a Data Scientist who loves people, going on adventures, and using computers to tackle tough problems. My desire to make computers work for me (and to avoid wet-lab) led me to computational work in college; in grad school, my love of statistics, communicating technical concepts to non-technical audiences, and iterating to solve tough problems, among other things, led me to become a Data Scientist.
I graduated in 2021 with a Ph.D. in Physical Chemistry, where I focused on using computer simulations and statistics to study how protons (hydrogen ions) move through the M2 channel in the influenza A virus in order to help guide drug-design efforts. I also used machine learning to develop new methods for running simulations of proteins. See more here.
Now at Kemper Insurance, I use advanced modeling techniques to unlock complex insight from messy data. My favorite project has been building Natural Language Processing (NLP) models to learn from car accident descriptions.
Outside of data science, I am passionate about being involved in all the communities I find myself in, whether that's co-chairing a committee on department culture or volunteering at a nearby nursing home. I love running, reading, nerding out on politics, and I am always learning something new!