Below, you will find my projects and publications, showcasing my work in research and applied domains. These entries highlight key contributions and areas of focus in my professional journey. Please feel free to click the links to explore for more details.
A Pipeline for Data-Driven Learning of Topological Features with Applications to Protein Stability Prediction
- Supplemental code for my paper on using CDER (Cover-Tree Differencing for Entropy Reduction) algorithm to identify highly informative regions of persistence diagrams to distinguish stable/unstable protein designs.
- Preprint available
Machine Learning for sleep/wake stage classification
- Utilized my personally written algorithm for Topological Data Analysis (TDA) for a data analysis project that involved classifying patient sleep stage based on their heart rate.
- Publication in Frontiers in Applied Mathematics and Statistics
The Delaunay-Rips Filtration
- A computationally efficient filtration for TDA. Personally written algorithm that I used for a machine learning project for an upcoming paper.
Solar Eclipse Data Analysis
- Co-led an 8-week internship program with 3 student interns, producing a 30-page comprehensive data analysis report on atmospheric changes during a solar eclipse.
- Produced repository of student code written by a team of 3 students during summer 2024 internship (R and python)
Matrix-Chain Multiplication Problem
- Solved and analyzed using a Brute-force approach and a Dynamic programming approach.
- Code and report available