Hi everyone! My name is Marie Barr-Ramsey, and I am a second-year transfer student at UC Berkeley majoring in Electrical Engineering and Computer Science (EECS). In my free time, I like to play folk-rock songs on guitar, challenge my friends in tennis, and dance Lindy Hop and East Coast Swing. During shelter in place, I’ve painted, run, and baked more than in the past year combined.
I applied to Cal Energy Corps because I enjoyed my machine learning class here at UC Berkeley and wanted to apply the theorems and technical skills I developed in the class to a real world application. Our programming assignments in the machine learning class used well-known datasets, but in my internship this summer, I am excited to be using data collected for the purpose of the project I’ll be working on, which aims to increase local groundwater agencies’ sustainability.
I will be interning with Juliane Mueller at the Lawrence Berkeley National Laboratory (LBNL). Our work will be centered around developing a water resource management tool for public agencies in California that enables sustainable groundwater management. I will be working on the machine learning side of things to help develop a data-informed decision support tool and incorporate groundwater data to make accurate predictions.
Over the course of this internship, I hope to strengthen my programming skills, become more familiar with machine learning techniques, and develop strong working relationships with my colleagues. I am excited to be involved in a project that will have a direct positive impact on the community and to learn from my team members and fellow students in the process.