Summer Internship Application: [Your Name] - A Computer Science and Cognitive Science Student

Good day! My name is [Your Name], and I am excited to be here today to discuss my background, experiences, and goals for the summer internship. I am an undergraduate student majoring in Computer Science and minoring in Cognitive Science at the University of North Carolina at Chapel Hill. I am interested in combining my knowledge of computer science and cognitive science to explore how technology can enhance human cognition and interaction.

During my time at UNC, I have worked as an Undergraduate Research Assistant at the UNC VisualLab, where I designed and built histogram, block matrix, and onion-layer models of social networks for visual analysis. I used D3.js and Svelte to analyze the data sets and attributes of network graphs. Additionally, I conducted literature reviews and wrote technical documents to support my findings. I also participated in the Cybersecurity Summer Research Program at Pembroke College in Cambridge, where I proposed an escape-room cybersecurity training from the perspectives of scam obedience psychology, gamification training, and learning analysis. I analyzed around 300 Cambridge leaked data to identify the disclosure channels with Python and Shodan and composed a 5,000-word paper on interdisciplinary, phishing-targeted training, which was graded as First Class.

In terms of my skills, I am proficient in programming languages such as Python, C/C++, Java, HTML, CSS, JavaScript, Verilog, and Visual Basic. I have also worked with libraries and frameworks such as Numpy, Sklearn, and PyTorch/TensorFlow (basic level), D3.js, and Svelte.js (basic level). I am also knowledgeable in using tools such as Adobe Creative Cloud suite and Microsoft Office suite.

One of my prior projects that I would like to share is the Char-RNN Shakespeare Language Model that I developed during my Deep Learning course at UNC. I modified a recurrent neural network language model to implement a character-level one (Char-RNN) in both vanilla and GRU RNN architectures using TensorFlow. I generated stylistically accurate Shakespearean samples by training on a 5.5MB Shakespeare dataset. Another project that I worked on was an interactive visualization of K-Means algorithm, which I developed using HTML, CSS, D3.js, and React.js during my Intro to Human-Computer Interaction course at The Chinese University of Hong Kong, Shenzhen, Guangdong. I applied principles of interactive experience design to enhance understanding and improve user experience.

Regarding my mentor's project list, I am particularly interested in the project '以人为中心的多模态驾驶数据集,' which focuses on developing a person-centered multimodal driving dataset. I find this project interesting as it aligns with my interest in exploring how technology can enhance human cognition and interaction. Through this project, I hope to learn more about the cognitive mechanisms involved in driver risk perception and how to develop technologies that can improve driving safety. I also believe that my skills and experiences in data analysis, machine learning, and human-computer interaction can contribute to my mentor's projects.

In conclusion, I am excited about the opportunity to work with your team this summer. I am confident that I can contribute my skills and experiences to the projects and learn new skills and knowledge that can help me achieve my academic and career goals. Thank you for considering my application, and I look forward to hearing from you soon.