
I'm a student at the University of California San Diego pursuing a B.S. in Mathematics Computer Science with minors in Data Science and Cognitive Science. GPA: 4.0/4.0
This site showcases my projects and explorations in computing, data analysis, and cognitive modeling, reflecting my passion for turning complex ideas into practical solutions.
Analyzing neuronal spike-train and connectivity data using Python, R, and MATLAB for lab pipelines (spike sorting, spectral analysis, quality-control reporting). Performing MEA electrophysiological recordings (plate preparation, neuronal culture handling, identification of key network activity metrics). Producing a documented analysis module and research report linking computational methods to biological interpretation, and delivering findings in a final presentation.
Utilizing Meridian developer package to build AI-assisted overview-detail interfaces for dynamic data exploration. Implementing customizable view specifications for user personalization of interface layouts. Developing interactive prototypes showcasing end-user-driven customization for complex information workflows.
Creating NGYL website with HTML, CSS, and Javascript to increase organization awareness and volunteer sign-up. Providing a communication platform for organization mission and events. Organizing and inviting 4 industry professionals for a STEM career seminar (200+ participants). Teaching 300+ students in subjects like Python, drones robotics, Lego robotics, and machine learning.

A web app that streamlines analysis of fluorescent signal data from Excel files. It transposes raw plate or well-based layouts into a consistent format, applies normalization, and generates summary statistics and tables ready for direct import into Prism for graphing and further analysis.

An ecommerce dashboard project that aims to make the functionalities of Excel portable on a mobile device. Built with Next.js frontend, MongoDB backend, and integrated Google Authentication system for secure user access.

Collected, cleaned, and wrangled multiple data frames. Analyzed relationships between factors (total views, genre, manga sales). Created a predictive model with data visualization.

An HCI focused web app for exploratory data analysis (EDA) and data transformations on CSV files, with no code required. It emphasizes usability (drag and drop, progressive disclosure, immediate visual feedback), efficiency (one click cleaning, suggested operations, full workflow undo and redo), and error reduction (automatic type detection, missing value highlighting, validation before apply). Tables and plots update live as you clean, transform, and visualize your data.