As a graduate student in computational neuroscience at Princeton University, I apply machine learning techniques to analyze large-scale neural data and uncover the principles of neural computation and behavior. I have published multiple papers in both experimental and theoretical neuroscience and received the Centennial Fellowship of Natural Sciences and Engineering for my academic excellence and research promise.In addition to my academic pursuits, I am also a reporter at NeurotechJP, a leading online platform that covers the latest developments and trends in the neurotechnology industry. I write informative articles on topics such as brain-computer interfaces and neural engineering, and interview prominent experts and innovators in the field. I am passionate about communicating complex concepts and insights in science to a wide audience.