Junho Kim, PhD
PhD in Bioinformatics, KAIST
Junho joined the lab in April, 2017. He received his Ph.D. in bioinformatics from KAIST in 2014 and did two years of postdoctoral training at Yonsei university college of medicine in South Korea. He has developed computational methods that detect low frequency somatic mutations (methods called RePlow and SoloDel for single nucleotide and copy number variants, respectively) from next-generating sequencing data, and Vecuum, a method that distinguishes true variants from false variants originating from various types of external contamination (e.g., vector contamination). Using his methos, he identified somatic mutations in several human diseases including schizophrenia and focal cortical dysplasia. His current research focuses on developing computational algorithms for single-cell genome sequencing data to investigate pathogenic mechanisms of neurodegenerative diseases.