Conducted research in the AI.MED Laboratory at the University of Alabama at Birmingham under Professor Jake Y. Chen, focusing on quantitative spatial-heterogeneity metrics for single-cell embedding representations
Title: BioRSP: Angular Scanning for Directional Gene Expression Enrichment in Single-Cell Embeddings
https://doi.org/10.1145/3765612.3767793
Title: Detecting Data Embedding Spatial Patterns and Identifying Biomarkers with BioRSP
https://doi.org/10.1101/2024.06.25.599250
Abstract submissions on BioRSP prepared for major computational biology conferences, including ACM BCB 2025, ISMB/ECCB 2025, IEEE BHI 2024, ICIBM 2024, and GIW ISCB-Asia 2023
https://drive.google.com/file/d/1M9qLzDH-AO9MuzlpVl6fm_ePKsb5_K4d/view
Posters from my BioRSP research
https://drive.google.com/file/d/1PDP1lgk9IC73NnwI9GHKZIeo-axgModh/view
Conducted AI-driven computational biology research on generative inhibitor design and protein–ligand interaction analysis under Prof. Yuefan Deng (Stony Brook University) and Prof. Bertal Aktas (Harvard Medical School)
https://drive.google.com/file/d/1-3LhfbTCgwFSExLKwH8TbirZM-C9JFfB/view?usp=sharing
Conducted exome sequencing data analysis from the 1000 Genomes Project, identifying over 189,000 disease- and drug-associated genetic variants using Midway2 HPC resources at UChicago's Research Computing Center
https://drive.google.com/file/d/1TpG24s6-Bp3fwSNGGUvTc3xirWzOcZXX/view
Explored autonomous aircraft taxiing using X-Plane simulations, a custom 5-layer neural network for runway alignment, and a PID-controlled autonomy stack
https://drive.google.com/file/d/1Lj-B5yBkR5fOZmgIxEgMlK695zorjtOU/view
