Andrea Macias

Andrea Macias is a third-year undergraduate Applied Mathematics major with a minor in Physics, with strong interests in data analysis, programming, and interdisciplinary research. As a research assistant in the Alexander Lab working under Xiaoxiao Lin on the data analysis team, she analyzes behavioral neuroscience data from mouse–target pursuit experiments. Her work involves processing tracking data and writing Python code to identify the chase period based on target movement, then creating trajectory plots that show how both the mouse and target move over time. She uses positional (x–y) data to produce clear visualizations that support ongoing research on behavior. Through this work, she applies quantitative methods to real experimental data while strengthening her skills in data analysis and scientific computing. In the future, she hopes to pursue a career in data analysis, applying quantitative methods to real-world problems in research or industry.