Throughout my career, I have been driven to make a meaningful impact on people’s lives, first as a biologist and now as a data scientist. I strongly believe in using data to make informed and objective decisions, and in delivering actionable results. Currently, the United States faces a number of serious and substantial challenges including COVID-19, natural disasters, climate change, racism, police brutality, and poverty. Alone, I feel somewhat helpless in what I, personally, can do to help. However, I am excited to join a group of data scientists to work together to help tackle these challenges.

I am a lifelong learner who thrives on challenging myself, quickly developing new skillsets, and applying these skills to different fields. I have over eight years of experience designing and interpreting experiments using statistical methods. I am also proficient at analyzing large datasets and building machine learning models using python and data science libraries. Some of the models I have built include the prediction of infections from central lines in the ICU, the presence of whales in shipping lanes, and the topic of health-related tweets. At Fred Hutch, I learned to build workflows to analyze single cell RNA sequencing data, leveraging cloud computing tools. More recently, I have completed four data science contract positions helping companies clean and utilize their real-world, messy data. I am actively engaged in several projects and invite you to view my GitHub portfolio.

In light of recent events, I am most interested in working on projects related to racial disparities, policing, and COVID-19.