I am a graduate student specializing in omics data analysis and medical data fusion, with a primary focus on psychiatric bioinformatics. My work centers on understanding neuropsychiatric disorders through a genetic and systems-level perspective, integrating long-read whole-genome sequencing (WGS), methylation profiling, and transcriptomics. I am particularly interested in leveraging deep learning and foundation models to uncover latent biological signals and improve disease characterization.

My broader goal is to contribute to a more precise and biologically grounded understanding of neurodevelopmental and psychiatric conditions, treating them as continuous spectra shaped by complex genetic architectures. I aim to build computational frameworks that bridge large-scale multi-omics data with clinically meaningful insights, ultimately supporting more accurate diagnosis and personalized intervention strategies.

originally trained in space weather science before transitioning into bioinformatics, driven by a stronger interest in biological systems and genetic mechanisms underlying human disease. This interdisciplinary background allows me to approach complex biological problems with a systems-oriented and data-driven mindset.

Outside of research, I like sharing what I learn through open-source side projects, technical writing, and exploring new ways to make scientific workflows more reproducible and human-friendly.