

I approach biology as a system of information. With training in molecular biology, statistics, and programming, I am interested in using machine learning to model how biological systems process, regulate, and adapt. My work and coursework have gradually shifted me from purely experimental approaches toward computational thinking, where I aim to bridge biological intelligence and artificial intelligence through data-driven research.
Co-author of a peer-reviewed publication in Cell Death & Disease (2025), investigating Irgm1-mediated regulation of ROS and bone remodeling in osteoporosis
PMID:40866352
https://doi.org/10.1038/s41419-025-07965-7