research
LLM Post-Training & Continual Learning
Developing post-training methods for LLMs to improve stability, generalization, and continual learning (details forthcoming).
Machine Learning for LIGO Detector Characterization
Developed convolutional neural networks for line characterization in continuous gravitational wave searches.
Machine Learning Approach to LIGO Detector Characterization · Poster, AAS 244
Implementation of CNN for Line Characterization in LIGO Continuous Gravitational Wave Searches · Poster, AAS 241
Project Board · Poster, ISEF 2024
awards:
❥ 1st Place Grand Award in Physics and Astronomy · Regeneron ISEF 2024
❥ Aspirations in Computing National Winner (1 of 40/3K+ nationally) · NCWIT 2024
Spiking Neural Networks for DNA Classification
Implemented spiking neural networks for real-time DNA sequence classification.
Spiking Neural Network Implementation for Real-Time DNA Classification · IEEE ISEC 2024
Sustainable Math Peer Learning Program
Designed and implemented a sustainable and equitable math peer learning mentorship program for school districts.
Ideation and Implementation of a Sustainable and Equitable Math Peer Learning School District Mentorship Program · IEEE ISEC 2024
awards:
❥ Governor's Leadership and Service Award (awarded to 1 high school graduating senior nationally) · 2024 National Mu Alpha Theta