Johns Hopkins University (July 2022 – July 2024)
During my time at Johns Hopkins, I contributed to behavioral and systems neuroscience research focused on understanding how the visual cortex processes information during decision-making tasks. I engineered and optimized custom behavioral apparatuses using Arduino, Raspberry Pi, and various sensors, ensuring precise stimulus delivery and reliable data capture. I routinely prepared high-quality histological brain sections, performed immunohistochemistry to label specific neural markers, and maintained organized experimental logs for reproducibility.
I assisted in running head-fixed mouse behavioral experiments, monitoring trial performance, calibrating equipment, and troubleshooting hardware and software issues in real time. My work also involved data organization, quality control, and contributing to protocol improvements to enhance experimental efficiency. This role strengthened my technical skill set, attention to detail, and ability to work independently in a research-intensive environment, while giving me a deeper understanding of neuroscience methodologies—including experimental design, electrophysiology principles, and animal behavior analysis.