Hello! I'm Allison, a junior double majoring in math and music with a coterm MS in computer science at Stanford University. Some fields I’m interested in are neuroscience, biomedical engineering, and machine learning. I like "learning for learning's sake". I’m also a FLI student originally from the Midwest, so I would say I’ve had a pretty unique college experience.
Major in Math and Music (BAS) and coterm MS in Computer Science; 3.92 GPA
Activities: Stanford Summer Engineering Academy (SSEA), Stanford Piano Society, CS106A/B Course Helper, TreeHacks, Stanford University Mathematical Organization (SUMO), Association for Computing Machinery (ACM), CodePath, Stanford Taekwondo.
Valedictorian; 99.35/100 UW GPA
Developed a GPT-4-based application using Retrieval-Augmented Generation (RAG) and LlamaIndex with Python to improve generative AI performance. Developed websites with HTML/CSS/JS to demo the chatbot. Volunteered at outreach events, giving public demonstrations of the Graphics and Visualization (GVIS) lab technologies and explaining NASA's latest research projects, such as the development of more efficient and quieter supersonic flight.
Project manager of a student team that designed a mission to explore the dwarf planet Ceres for L'SPACE MCA. The team's research and prototyping efforts culminated in a 180-page Preliminary Design Review (PDR) and final presentation to a review board.
Developed a program called EasyDIVER 2.0 that helps scientists analyze data consisting of millions of DNA/RNA sequences with Python and Bash at the BMSIS YSP. Presented a demo video at BlueSciCon. Will continue working on the program as a visiting scholar and writing a scientific paper.
Worked in a team to use machine learning methods via Python libraries like PyTorch to analyze neural data. Primary developer for project where I ran Python and Julia simulations of neural networks and wrote an improved algorithm to find sequences (representing memories) in the brain. Presented my findings at the CURIS poster session, one of the largest undergraduate research events at Stanford.
Languages: (Proficient) Python, Java (Familiar) C/C++, MATLAB, HTML/CSS, JavaScript, Julia
Developer Tools: Git, Visual Studio, PyCharm, Eclipse, LaTeX, Linux (Ubuntu), Qt Creator, Android Studio
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