Ki-Tae Kim, PhD

Dr. Ki-Tae Kim is a leading data scientist (Biomedical Informatics). Currently he is working as a research assistant professor in Department of Molecular Genetics at Seoul National University School of Dentistry. He graduated with a bachelor’s degree in chemistry at Sungkyunkwan University and obtained a Ph.D. degree (Biomedical Informatics) from Seoul National University School of Medicine.

He is conducting research that utilizes genomic data on various diseases to identify markers associated with patient prognosis and severity through an informatics-based approach. His research has covered various diseases such as head and neck cancer, brain cancer, stomach cancer, metastatic cancer, chronic obstructive pulmonary disease, depression, post-traumatic stress disorder, ossification of posterior longitudinal ligament, infertility, and Alzheimer's disease, among others. He is deeply engaged in discovering disease-associated genomics, particularly multi-omics approach by combining clinical and variable genomic data.

Research Interests

All area in Bioinformatics (Bulk and Single cell with DNA-seq, RNA-seq, Epigenome-seq, Spatial Transcriptome, Microarray, etc.,), Computational Genomics, Ageing & Cancer Genomics, Neuro-degenerative and psychiatric disease, Complex disease, Immunology, Statistical Genetics, Advanced Machine learning, Pathway/Gene set analysis, All of NGS preprocessing and secondary analysis pipelines.

First/Principle author Publications

• Ph.D. in Biomedical Informatics, College of Medicine, Seoul National University, Korea

• B.S. in Chemistry, College of Natural Sciences, Sungkyunkwan University, Korea

Professional Experiences

• (Current) Research assistant professor, Department of Molecular Genetics, Seoul National University School of Dentistry

• (Current) Founder/Instructor for Biomedical Artificial Intelligence in KPC (Korea Productivity Center)

• (Current) Instructor for Advanced computational statistics in CPBMI (Certified Physician in BioMedical Informatics)

• (Current) Instructor for genomic analysis in Korea University Medical Center / Seoul National University Hospital

• Research assistant professor in Department of Laboratory Medicine, Korea University Anam Hospital

• Instructor for Advanced bioinformatics and Biomedical Informatics in Korea National Open University

Publications, and Books

• Prognostic Genomic Markers of Pathological Stage in Oral Squamous Cell Carcinoma.
  Su Kyung Kuk, Jae Il Lee , Kitae Kim * (Corresponding Author)
  Head Neck Pathol., 2022 Dec 31. doi: 10.1007/s12105-022-01516-8

• Dental implant proximity to adjacent teeth: A retrospective study.
  Ki Tae Kim, Ph.D.*, Hee-seung Han D.D.S*,Pil-Jong Kim D.D.S, Sungtae Kim D.D.S, Ph.D.,Young Ku D.D.S, Ph.D.,Young-Dan Cho D.D.S, Ph.D.
  Clinical Implant Dentistry and Related Research., 2022 Dec;24(6):733-739

• Clinico-pathologic and genomic characteristics of mucinous gastric adenocarcinoma.
  Yoon Young Choi, M.D., Ph.D. , Jae Eun Lee, Ph.D., Ji Yeong An, M.D., Ph.D., Ki Tae Kim, Ph.D., Su Jin Shin, M.D., Ph.D., Jae-Ho Cheong, M.D., Ph.D.*,
  Gastric Cancer, 2022 Jul;25(4):697-711

• Genetic differences between physical injury patients with and without post-traumatic syndrome: Focus on secondary findings and potential variants revealed by whole-exome sequencing.
  Hee-Ju Kang, Ho-Yeon Lee, Ki-Tae Kim, Ju-Wan Kim, Ju-Yeon Lee, Sung-Wan Kim, Jung-Chul Kim, Il-Seon Shin, Namshin Kim, Jae-Min Kim,
  Clin Psychopharmacol Neurosci., 2021; 19(4): 683-694

• Unveiling the genetic variation of severe continuous/mixed-type ossification of the posterior longitudinal ligament by whole-exome sequencing and bioinformatic analysis.
  Ki Tae Kim*, Chang-Hyun Lee*, Chi Heon Kim, Eun Young Lee, Sang Gu Lee, Myung-Eui Seo, Ju Han Kim, and Chun Kee Chung,
  The Spine J. , 2021 Jul 15;S1529-9430(21)00820-2

• Genetic markers for depressive disorders with earlier age at onset.
  Ki Tae Kim*, Hee-Ju Kang*, Kyoung-Hoon Yoo, Yoomi Park, Ju-Wan Kim, Sung-Wan Kim, Il-Seon Shin, Ju Han Kim*, Jae-Min Kim*,
  Neuro-psychoparmacology & Biological psychiatry , 2021 Jun 8;108:110176

• Sex differences in the genetic architecture of depression.
  Hee-Ju Kang†, Yoomi Park†, Kyoung-Hoon Yoo, Ki-Tae Kim, Eun-Song Kim, Ju-Wan Kim, Sung-Wan Kim, Il-Seon Shin, Jin-Sang Yoon, Ju Han Kim*, Jae-Min Kim*,
  Scientific Reports , 2020 Jun 18;10(1):9927.

• Genetic markers for later remission in response to early improvement of antidepressants.
  Ki Tae Kim*, Hee-Ju Kang*, Kyoung-Hoon Yoo, Yoomi Park, Ju-Wan Kim, Sung-Wan Kim, Il-Seon Shin, Ju Han Kim*, Jae-Min Kim*,
  Int J Mol Sci , 2020 Jul; 21(14): 4884

• Is NF2 a key player in the differentially expressed gene of spinal cord ependymoma compared with the intracranial ependymoma?
  Ki Tae Kim#, Chang-Hyun Lee#, Chun Kee Chung*, Ju Han Kim*,
  World Neurosurgery , 2018 Oct;118:e906-e917

• Predicting Treatable traits for Long-Acting Bronchodilators in Patients with Stable COPD.
  Ki Tae Kim#, Jieun Kang*, Ji-Hyun Lee, Eun Kyung Kim, Tae-Hyung Kim, Kwang Ha Yoo, Jae Seung Lee, Woo Jin Kim, Ju Han Kim†, Yeon-Mok Oh†,
  Int J COPD , 2017;12:3557-3565

• Association of FAT1 mutation with overall survival in patients with human papillomavirus-negative head and neck squamous cell carcinoma.
  Ki Tae Kim, Bo-Sung Kim, Ju Han Kim*,
  Head & Neck , 2016 Apr;38(Suppl 1):E2021-2029

Patents

• Analysis pipeline of shared clonotypes between CD4+ and CD8+ T-cells for precision medicine.
  Patent ID: 10-2021-0074968 Ki-Tae Kim, Yunjung Cho,

• Composition for diagnostics and the uses compromising SPP1 for immature neutrophil deposition of aging bone marrow.
  Patent ID: 10-2022-0151288 Ki-Tae Kim, Woo-jin Kim, Hyun-Mo Ryoo

• Method for screening biomarkers for diagnosis of ovarian metastatic gastric cancer and biomarkers selected by the method.
  Patent ID: 10-2022-173056 Ki-Tae Kim, Yoon Young Choi, Jae Eun Lee

• Method for screening biomarkers for diagnosis of peritoneal metastatic gastric cancer and biomarkers selected by the method.
  Patent ID: 10-2022-173051 Ki-Tae Kim, Yoon Young Choi, Jae Eun Lee

National Research Grants

• 2022~2025 National Research Foundation of Korea (NRF) No. 2022R1I1A1A01062894 “Single cell level multi-omics analysis for identification of causal genomic marker and treatment target associated with suppression of bone regeneration related to aging”