PORTFOLIO
The following are samples of my work over the years, covering a wide range of skills from Python to web design to video making.
01
Unsupervised Machine Learning for Analysis of Young Star Photometric Light Curves (2024)
I analyzed photometric light curves of young stars using multiple unsupervised machine learning techniques to further understanding of early star formation processes under the guidance of Professor Lynne Hillenbrand in the PMA department. In this project, I Worked with data from the Kepler/K2 and Transiting Exoplanet Survey Satellite (TESS) NASA missions, which include high-precision photometry for thousands of stars in the K2 dataset and over 200,000 stars in the TESS dataset to extract relevant features.​
02
An Investigation of the Robustness of Machine Perception for Control
Modern day control systems such as autonomous driving typically utilize image and video signals to produce feedback control. However, adversarial noise can often interfere with label prediction and thus lead to decreased robustness. This project aims to investigate adversarial robustness of convolutional nerual network (CNN) based machine perception for identifying the position of a driving car.
03
Fire Detection Using Keras (2022)
For my AP Research project in my senior year of high school, I successfully designed and trained a convolutional neural network able to identify forest fires from an image using Keras in Google Colab. I then further implemented this model so that it could be used to process videos.
