Seungchan Kim

Director (CCSB), Chief Scientist and Executive Professor



Dr. Seungchan Kim is a Chief Scientist and Executive Professor at the Department of Electrical and Computer Engineering and Director of the CRI Center for Computational Systems Biology at the Prairie View A&M University (PVAMU), initiated by funding from Texas A&M University Systems' Chancellor’s Research Initiative (CRI) and Prairie View A&M University. Prior to this appointment, He was the Head of Biocomputing Unit and an Associate Professor at Integrated Cancer Genomics Division of Translational Genomics Research Institute (TGen). He was one of the founding faculty members of TGen, founded in 2002, by Dr. Trent, then-Scientific Director of the National Human Genome Research Institute at the National Institutes of Health. He had led computational systems biology research at the institute since 2003. He was also an Assistant Professor in the School of Computing, Informatics, Decision Systems Engineering (CIDSE) at the Arizona State University from 2004 till 2011. Dr. Kim received B.S. and M.S. degrees in Agriculture Engineering from the Seoul National University, and Ph.D. in Electrical Engineering from the Texas A&M University. He also got his post-doctoral training at the Cancer Genetics Branch of National Human Genome Research Institute.

Dr. Kim is well recognized in the field of Bioinformatics and Computational Systems Biology research, both nationally and internationally, with more than 70 peer-reviewed articles with more than 5,000 citations. His research interests include: 1) mathematical modeling of genetic regulatory networks, 2) development of computational methods to analyze multitude of high throughput multi-omics data to identify disease biomarkers, and 3) computational models to diagnose patients or predict patient outcomes, for example, disease subtypes or drug response. His studies have had a large influence on the development of computational tools to study underlying mechanisms for cancer development and better understand the molecular mechanisms behind cancer biology and biological systems.

Recent Papers

Leveraging Spatial Variation in Tumor Purity for Improved Somatic Variant Calling of Archival Tumor Only Samples

Systems Analysis of the Human Pulmonary Arterial Hypertension Lung Transcriptome

Phenotype Classification Using Moment Features of Single-Cell Data

GPU-accelerated differential dependency network analysis

Differential Response of Glioma Stem Cells to Arsenic Trioxide Therapy Is Regulated by MNK1 and mRNA Translation

Contextualization of drug-mediator relations using evidence networks


[CCSB Seminar Series] Radiation Dosimetry Measurements Onboard Air and Space Craft for Human Safety Programs and Cancer Epidemiology Studies

[CCSB Seminar Series] Single Cell Genomics at the Center for Computational Systems Biology

[CCSB Seminar Series] Gene Expression in Developing Goat Testes: Identification of a Caprine Spermatogenesis Transcriptome

Dr. Kebrom joins CCSB and CARC, as a Research Scientist for Plant Systems Biology

[CCSB Seminar Series] Neural Networks Based Feature Selection for Genetic Data Analysis

[CCSB Seminar Series] Cancer Research - A Physicist's View

[CCSB Seminar Series] Differential, tissue-specific effects of germline mutations on epithelial stem cell development

[CCSB Seminar Series] Validation of the Gene Master Regulators Theory for Cancer Gene Therapy

[CCSB Seminar Series] Computational Repurposing of Cancer Drugs: Big Data, Computational Analysis and Knowledge Fusion

CCSB@PVAMU website is up and running

CCSB Genomics Lab certified for BSL2

Dr. Xishuang Dong accepted a tenure-track faculty position (ECE) for CCSB@PVAMU

CCSB Signage Goes Up

Dr. Youngblood awarded NSF HBCU-RIA grant in collaboration with CCSB@PVAMU - first of many more to come!

First sequencing at CCSB@PVAMU - Humble Start

Drs. Lijuan Qian (PI), Xiangfang Li, Seungchan Kim and Pamela Obiomon awarded NSF-RISE grant.