I am a data scientist interested in engineering solutions for large numeric data and collaborating in diverse teams.
I am fascinated by opportunities to use data to draw meaning and make predictions because of the impact and insight the results can provide into the real world. This fascination grew out of the world of high-dimensional bioinformatic data, but now includes financial, sensor, and simulation data.
Favorite projects that I have worked on include an interactive dashboard running a suite of ML models on bioinformatics data to classify which cells were infected. I was responsible for implementing the machine learning, optimizing model run time and deploying via containerization.
Another favorite project was creating an ETL process for tens of millions of JSON records stored in a NoSQL database, inaccessible to the team when I joined, and working with leadership to design reproducible visualizations answering the project’s most pressing questions.
I also love to mentor, teach, and share knowledge via publication, co-working or answering questions based on the data.
Away from my desk, I enjoy being outdoors, biking and hard-copy reading in a variety of genres.