Xin Huang

Accomplished computational biologist with 13+ years of experience specializing in genomics and bioinformatics, specifically focused on in silico evidence generation to drive drug discovery. Extensive background in analyzing complex omics data, including single-cell/nucleus RNA sequencing, genomics and proteomics, using R and Python. Proven track record in developing innovative computational methodologies that drive significant business impact. Strategic leader experienced in managing interdisciplinary projects and translating high-dimensional molecular data into actionable clinical insights. Effective communicator skilled in collaborating with in vitro and in vivo scientists to design customized analysis workflows for extracting biologically relevant insights. A bridge between bench and data science.