Motivated Computer Science undergraduate with hands-on research experience in behavioral computing and emotion detection using physiological signals. Skilled in Python and machine learning, with a strong interest in supporting interdisciplinary academic research at the intersection of neuroscience and data science.
UC Davis, Research Assistant & Data Analysis Intern, 06/22, 09/22, Contributed to a behavioral research initiative focused on automated emotion recognition using physiological signals., Applied machine learning and AI techniques to classify emotional states based on sensor data., Conducted data cleaning, preprocessing, and model evaluation in Python using Anaconda Navigator and PyTorch., Collaborated with researchers from computer science and neuroscience, supporting interdisciplinary investigation., Documented findings and assisted in translating insights for academic presentations and applied use.