My Background
I am a scientist specialized in mathematical biology, particularly, genomic mathematics and computational biology. My research focuses on developing innovative approaches, such as Methyl-IT, to detect methylation regulatory signals from background noise. I have proposed an information thermodynamics-based method to investigate genome-wide methylation patterning. With my expertise, I aim to provide greater sensitivity and accuracy in methylation analysis