Seongho Kim

Seongho Kim

Seongho Kim

Position Title

Associate Professor
Population Science

Office Location

Biostatistics Core
Mid-Med Lofts
87 E Canfield
Detroit, MI 48201

Mailing Address

Karmanos Cancer Institute
4100 John R.
Mail Code: MM03BS
Detroit, MI 48201

Office Phone


Education Training

(2005)  Ph.D. Applied Statistics, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea

Postgraduate Training
(2006-2008)  Postdoctoral Research Fellow in Biostatistics, Indiana University School of Medicine, Indianapolis, IN
(2005-2006)  Postdoctoral Research Fellow in Bioinformatics, School of Biology, Georgia Institute of Technology, Atlanta, GA

Professional Experience

Faculty Appointments

(2017-Present) Associate Professor, Biostatistics Core, Department of Oncology, Wayne State University School of Medicine, Detroit, MI
(2013-2017)  Assistant Professor, Biostatistics Core, Department of Oncology, Wayne State University School of Medicine, Detroit, MI
(2009-2013)  Assistant Professor, Department of Bioinformatics and Biostatistics School of Public Health and Information Sciences, University of Louisville, Louisville, KY
(2009-2013)  Adjunct Assistant Professor, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN

Hospital or Other Professional Appointments
(2008-2009)  Research Associate in Biostatistics, Indiana University School of Medicine, Indianapolis, IN

Major Professional Societies

American Statistical Association (ASA)
American Society for Clinical Pharmacology and Therapeutics (ASCPT)
American Chemistry Society (ACS)
International Society for Computational Biology (ISCB)

Honors and Awards

(2016) School of Medicine College Teaching Award, Department of Oncology, Wayne State University, Detroit, MI
(2008) Presidential Trainee Award. American Society for Clinical Pharmacology and Therapeutics (ASCPT), Alexandria, VA
(2004) Abroad Collaborative Research. Korea Science and Engineering Foundation (KOSEF), Daejeon, South Korea

Courses taught

CB 7600: Applied Cancer Biostatistcs
FPH 7500: Survival Analysis

Research Interests

Dr. Kim's research interests lie in the data analysis and the methodology development for biological and clinical cancer data. He has participated in various research projects, including pattern recognitions, decision support systems, comparative genomics, metabolomics, pharmacokinetics/pharmacodynamics, biomarker discovery, high-dimensional data analysis, pathway analysis, and cancer screening.


1. Kim S, Jang H, Wu D, Abrams J: A Bayesian nonlinear mixed-effects disease progression model. Journal of Biometrics & Biostatistics. 6(5):271, 2015. PMCID:PMC4718583

2. Kim S: ppcor: An R package for a fast calculation to semi-partial correlation coefficients. Commun Stat Appl Methods. 22(6):665-674, 2015. PMCID:PMC4681537

3. Veeraputhiran M, Jain T, Deol A, Ayash L, Kim S, Dyson G, Bhutani D, Lum LG, Ratanatharathorn V, Uberti JP, Abidi MH: BEAM Conditioning Regimen has higher toxicity compared to high dose melphalan for salvage autologous hematopoietic stem cell transplant in multiple myeloma. Clinical Lymphoma, Myloma and Leukemia. 15(9):531-5, 2015. PMID:26166312

4. Kim S, Zhang X: Discovery of False Identification Using Similarity Difference in GC-MS based Metabolomics. J Chemom 29(2):80-86, 2015. PMCID: PMC4414261

5. Kim S, Gaweda AE, Wu D, Li L, Rai SN, Brier ME: Simplified Warfarin Dose-response Pharmacodynamic Models. Biomed Eng (Singapore). 27:1550001, 2015. PMCID: PMC4349334

6. Akabua E, Inanc T, Gaweda A, Brier ME, Kim S, Zurada JM: Individualized model discovery: the case of anemia patients. Comput Methods Programs Biomed. 8:23-33, 2015. PMID: 25459523

7. Koo I*, Yao S*, Zhang X, Kim S: Comparative Analysis of False Discovery Rate Methods in Constructing Metabolic Association Networks. Journal of Bioinformatics and Computational Biology. 12(4):1450018, 2014. PMCID: PMC4144070

8. Koo I*, Wei X*, Shi X*, Kim S, Zhang X: Constructing metabolic association networks using high-dimensional mass spectrometry data. Chemometrics and Intelligent Laboratory Systems. 138(15): 193-202, 2014. PMCID: PMC4233464

9. Kim S, Ouyang M, Jeong J*, Shen C, Zhang X: A new method for peak detection on comprehensive GCxGC-MS data. Annals of Applied Statistics. 8(2): 1209-1231, 2014. PMCID: PMC4175529

10. Li J, Kim S, Wiegand R, Wu J, LoRusso P: Complex disease-, gene-, and drug-drug interactions: impacts of renal function, CYP2D6 phenotype, and OCT2 activity on veliparib pharmacokinetics. Clinical Cancer Research. 20(15):3931-44, 2014. PMCID: PMC4151156. 2014 Simcyp Academic IVIVE Award as “Most Informative Scientific Report” (Media)

PubMed Database Link:




Faculty Status

Population Science

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