Expert Profile: songso | Research Directory

Education

Ph. D.: University of Connecticut 2005 (Statistics, Bayesian Statistics)

Positions and Work Experience

09-2005 -08-2011 Assistant Professor, University of Cincinnati, Department of Mathematical Sciences

09-2011 -08-2019 Associate Professor, University of Cincinnati, Department of Mathematical Sciences

08-2019 -To Present Professor, Department of Mathematical Sciences Division of Statistics and Data Science, University of Cincinnati, Cincinnati, OH

08-2024 - Undergraduate Program director in Statistics, University of Cincinnati,

Research Support

Grant: #DARPA-11-66-Open-BAA-FP-004 Investigators:Seongho Song 01-2012 -12-2015 Defense Advanced Research Projects Agency (DARPA) Uncovering general principles of network dynamics of circadian rhythms, cell cycle, DNA damage response, and metabolism as interconnected modules Role:Co-PI 3.7M Active Type:Grant Level:National

Investigators:Seongho Song 06-2010 -08-2010 TAFT Research Foundation Role:PI 9,500 Completed Type:Fellowship Level:University

Investigators:Seongho Song 04-2010 -03-2011 Center for Clinical & Translational Science & Training (CCTST) Baysian analysis of longitudinal binary data using Markov regression models with skewed links Role:PI 10,000 Completed Type:Grant Level:University

Investigators:Seongho Song 01-2009 National Institute of Occupational Safety and Health Development of NIHL risk assessment procedure for Chinchillas Role:Co-PI 936K Denied Type:Grant Level:National

Investigators:Seongho Song 09-2007 National Institute of Occupational Safety and Health Development of NIHL risk assessment procedure for Chinchillas Role:Co-PI 909K Denied Type:Grant Level:National

Investigators:Seongho Song 06-2006 -08-2006 TAFT Research Foundation Role:PI $6,500 Completed Type:Fellowship Level:College

Grant: #R01MH119814 Investigators:Herman, James; Song, Seongho; Ulrich-Lai, Yvonne; Wang, Xia 09-11-2019 -06-30-2024 National Institute of Mental Health Stress resilience by natural rewards: neurocircuit mechanisms Role:Collaborator $561,667.00 Awarded Level:Federal

Grant: #URC Interdisciplinary awards AY2014-15 Investigators:Herman, James; Song, Seongho; Ulrich-Lai, Yvonne; Wang, Xia 05-01-2015 -04-30-2016 UC Neuronal Network Discovery in ‘Comfort’ Food Model: A Bayesian Learning Approach Role:Collaborator $25,000.00 Active Type:Grant Level:University

Investigators:Song, Seongho 05-01-2022 -12-31-2022 Korea Institute of Ocean Science and Technology Research on the advance of Bayesian Ensemble method for Coastal KoreaOperational Oceanographic System (KOOS) Role:PI 36759.00 Hold Level:Higher Education

Abbreviated Publications

Peer Reviewed Publications

Song, S., Dey, D. K., & Holsinger, K. E. (2006) "Hierarchical Models with Migration, Mutation, and Drift: Implications for genetic inference" . Evolution, 60(1), 1-12.

Zhu, Xiangdong, Kim, Jay H, Song, Won Joon, Murphy, William J, & Song, Seongho (2009). "Development of a noise metric for assessment of exposure risk to complex noises." The Journal of the Acoustical Society of America, 126(2), 703-12.

Chung, Y., Kim, C., & Song, S. (1998). "Linear estimators of a Poisson mean under balanced loss functions". Statistics and Decisions, 16, 245-257.

Lee, Soo-Jin, Kong, Yong-Ku, Lowe, Brian D, & Song, Seongho (2009). "Handle grip span for optimising finger-specific force capability as a function of hand size." Ergonomics, 52(5), 601-8.

Park, Woojin, Singh, Devender P, Huston, Ronald L, & Song, Seongho (2008). "A quantitative method for representing balance strategies of goal-directed human motions". Computers in biology and medicine, 38(10), 1094-102.

Song, Seongho, Dey, Dipak K, & Holsinger, Kent E (2011). "Genetic Diversityof Microsatellite Loci in Hierarchically Structured Populations." Theoretical Population Biology,80, 1, 29-37

Jang, J., Chung, Y., Kim, C. and Song, S. (2009) “Bayesian meta-analysis using skewed elliptical distributions”, Journal of statistical computation and simulation, 79, 691-704

Kim, C. and Song, S. (2010) “Bayesian Estimation of the Parameters of the Generalized Exponential Distribution from Doubly Censored Samples”, Statistical Papers, 51, 583-597

Rimler, M., Song, S. and Yi, D. T. (2010) “Estimating Production Efficiency in Men's NCAA College Basketball: A Bayesian Approach”, Journal of Sports Economics, 11, 287-315

Song, S. and Yi, D. T. (2011) “The fundraising efficiency in U.S. non-profit art organizations: an application of a Bayesian estimation approach using the stochastic frontier production model”, Journal of Productivity Analysis, 2011, v. 35, pp171-180.

Oh, S.,Song, S., Grabowki, G., Zhao, H., and Noonan, J.P. (2013) “Time-series expression analyses using mRNA-Seq: A statistical approach.”, BioMed Research InternationalBioMed Research International, Published online, 2013. DOI : http://dx.doi.org/10.1155/2013/203681

Oh, S., Song, S., Dasgupta, N., Grabowski, G. (2014) “The analytical landscape of static and temporal dynamics in transcriptome data”, Frontiers in Genetics: Bioinformatics and Computational Biology, 5:35, 1-12, 2014. DOI: 10.3389/fgene.2014.00035

Jung, M., Song, S. and Chung, Y. (2015) “Bayesian Change-point Problem Using Bayes Factor with Hierarchical Prior Distribution”, Communications in Statistics-Theory and Methods, 46:3, 1352-1366, 2017. DOI: 10.1080/03610926.2015.1019143

Ulrich-Lai, Y.M., Christiansen, A.M., Wang, X., Song, S., and Herman, J.P. (2015) “Statistical Modeling Implicates Neuroanatomical Circuit Mediating Stress Relief by Comport Food”, Accepted in Brain Structure and Function

Li, D., Wang, X., Song, S., Zhang, N., Dey D.K. (2015) “Flexible Link Functions in a Joint Model of Binary and Longitudinal Data”, STAT, DOI: 10.1002/sta4.98

Kim, C., Song, S. and Kim, W. (2016) “Statistical Inference for Burr Type III Distribution on Dual Generalized Order Statistics and Real Data Analysis”, Applied Mathematical Sciences, 10, No. 14, 683-695, http://dx.doi.org/10.12988/ams.2016.615

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Kim, M., Wang, X., Liu, C., Dorris, K., Fouladi, M., and Song, S. (2016) “Random-Effects Meta-Analysis for Systematic Reviews of Phase I Clinical Trials: Rare Events and Missing Data”, Accepted in Research Synthesis Methods.

Ren, Y., Hong, C., Lim, S., Song, S. (2016) “Finding clocks in genes: a Bayesian approach to estimate periodicity”, Article ID 3017475, BioMed Research International, 2016, DOI:10.1155/2016/3017475.

Tang, X., Roessingh, S., Hayley, S. E., Chu, M.L., Tanaka, N.K., Wolfgang, W., Song, S., Stanewsky, R. and Hamada, F.N., “The role of PDF neurons in setting preferred temperature before dawn in Drosophila”, DOI: 10.7554/eLife.23206, eLIFE, 2017.

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Egan, A., Thompson, A., Buesing, D., Fourman, S.M., Packard, A.E.B., Terefe, T., Wang, X., Song, S., Solomon, M.B. and Ulrich-Lai, Y.M., “Palatable food affects HPA axis responsivity and forebrain neurocircuitry in an estrous cycle-specific manner in female rats”, Neuroscience (2018)

Oh, S., Li, C., Baldwin, R.L., Song, S. and Li, R.W. “Temporal dynamics in stimuli-response experimental design: further critical issues-systematic biases and isoform diversity”, Published online Jan. 2019, No. 9, v. 763, Scientific Reports.

Choi, J.H. and Song, S. Revisiting the PPP puzzle: Nominal exchange rate rigidity and region of inaction, Journal of International Financial Markets, Institutions & Money, v78, 2022

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Lee, S., Lee, M., Yoo, K.S. and Song, S. "Assessment of MOF-801 synthesis for tolune adsorption by using design of experiment methodology:, July 2022, Korean Journal of Chemical Engineering.

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Palipana, A.K., Gecili, E., Song, S., Johnson, S. and Szczesniak, R.D. "Predicting Individualized Lung Disease Progression in Treatment Naive Patients with Lymphangioleiomyomatosis", published online, Jan. 2023 CHEST

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Zhou, C.G., Song, S. and Szczesnaik, R.D. "multilevel joint model of longtudinal continuous and binary outcomes for hierarchically structured Data", accepted in Statistics in Medicine, June 2023

Peer Reviewed Conference/Workshop Proceedings

Kong, Y., Lee, S., Lowe, B. D. and Song, S. (2007) “Evaluation of various handle grip spans for optimizing finger specific force based on the users’ hand sizes”, Human Factors and Ergonomics Society Annual Meeting Proceedings, Industrial Ergonomics , 884-888

Book Chapter

Oh. S., and Song, S. (2015) “Differential Gene Expression (DEX) and Alternative Splicing Events (ASE) for Temporal Dynamic Processes Using HMMs and Hierarchical Bayesian Modeling Approaches”, Methods in Molecular Biology, David R. Westhead and M.S. Vijayabaskar (eds.), v1552, p165-176, 2017, DOI 10.1007/978-1-4939-6753-7_12.

Oh, S. and Song, S., “Bayesian Modeling Approaches for Temporal Dynamics in RNA-seq Data”, New Insights into Bayesian Inference, Mohammad Saber Fallah Nezhad (eds.), Chapter 2, pp7-20 (2018)

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Presentations

Invited Presentations

(11-2006. ) Department of Mathematics and Statistics, Wright State University, Dayton, OH.

(12-2005. ) Department of Statistics, Pusan National University, Pusan, Korea .

Seongho Song (02-2009. ) University of Connecticut, Department of Statistics. Other Institution. . Level:National

Seongho Song (10-2009. ) Pusan National University, Department of Statistics. Other Institution. . Level:International

Seongho Song (12-2009. ) Pusan National University, Department of Statistics. Other Institution. . Level:International

Seongho Song (12-10-2013. ) Bayesian Analysis of Longitudinal Binary Data Using Markov Regression Models with Skewed Links .Cincinnati, OH. Other Institution. . Level:Regional

Seongho Song (03-2017. ) Bayesian Multivariate Gamma-Frailty Cox Model for Clustered Current Status Data .Dept. of Bioinformatics and Biostatistics, University of Louisville, Louisville, KY. Other Institution. . Level:National

Seongho Song (06-2017. ) Bayesian Multivariate Gamma-Frailty Cox Model for Clustered Current Status Data .Pusan National University, Busan, Korea. Other Institution. . Level:International

Seongho Song (07-2018. ) Flexible Link Functions in a Joint Model of Binary and Longitudinal Data .Department of Statistics, Pusan National University, Busan, Korea. Other Institution. . Level:International

Seongho Song (07-2018. ) Hierarchical Bayesian Analysis for Stochastic Frontier Production Function Model .The 3rd Eastern Asia meeting on Bayesian statistics EAC-ISBA 2018, Seoul, Korea. Level:International

Seongho Song (10-2018. ) Flexible Link Functions in a Joint Model of Binary and Longitudinal Data .Invited talk in the Department of Statistics, Miami University, Oxford OH. Other Institution. . Level:Regional

Seongho Song (07-2018. ) Hierarchical Bayesian Analysis for Stochastic Frontier Production Function Model .Seoul, Korea. Conference. . Level:International

Seongho Song (03-2019. ) Dept. of Bioinformatics and Biostatistics, University of Louisville. Level:State

Seongho Song (12-16-2021. ) Bayesian Analysis for a joint model with Integrated Fractional Brownian Motion .Department of Statistics, Pusan National University, Busan, South Korea. Level:International

Seongho Song (12-07-2021. ) Recent Development on Bayesian Ensemble Prediction method for Coastal Korean Operational Oceanographic System (KOOS) .Marine Disaster Research Center, Korean Institute of Ocean Science and Technologies (KIOST), Busan, South Korea. Level:International

Lecture

Seongho Song (12-2009. ) College of Nursing. Other Institution. Level:International

Seongho Song (07-2010. ) Department of Atmospheric Science, Kongju National Univ. Other Institution. Level:International

Seongho Song (12-08-2021. ) Introduction to Bayesian Statistics using Markov Chain Monte Carlo in Ocean Science .Busan, South Korea. Other Institution. Level:International

Seongho Song (12-15-2021. ) Understanding Bayesian Statistics .Suwon, South Korea. Other Institution. Level:International

Paper Presentations

(08-2006. ) Seattle, WA.

(06-2006. ) Alicante, Spain.

(08-2005. ) Minneapolis, MN.

(04-2005. ) Storrs, CT.

(08-2004. ) Toronto, Canada.

(04-2004. ) Boston, MA.

Seongho Song (03-2009. ) San Antonio, TX. Professional Meeting. Level:National

Seongho Song (11-2009. ) Jukjeon, Korea. Professional Meeting. Level:International

Seongho Song (08-2010. ) Vancouver BC,Canada. Professional Meeting. Level:International

Seongho Song (08-2013. ) Montreal, Canada. Conference. Level:International

Seongho Song (11-2013. ) Seoul, Korea. Conference. Level:International

Seongho Song (11-2014. ) Seoul, Koea. Conference. Level:International

Seongho Song (08-2016. ) Conference. Level:National

Seongho Song (04-2017. ) Storrs, CT. Conference. Level:National

Seongho Song (06-2017. ) Hong Kong University of Science and Technology, Hong Kong, China. Conference. Level:International

Seongho Song (07-2017. ) Baltimore, MD. Conference. Level:National

Seongho Song (08-2018. ) Vancouver, BC, Canada. Professional Meeting. Level:International

Seongho Song (08-2019. ) Hierarchical Bayesian Link model for Stochastic Frontier Production Function Model .Denver, CO. Conference. Level:National

Seongho Song (11-16-2021. ) Multilevel Joint Model of Longitudinal and binary outcomes in a hierarchically structured data .Virtual Meeting. Conference. Level:International

Service

Statistical Methodology Reviewer Type:Editorial Service Level:National 2006

Metrika Reviewer Type:Editorial Service Level:National 2009

IEEE transactions on Reliability Reviewer Type:Editorial Service Level:National 2011

Cincinnati Children's Hosptali Review Board/Panel Type:Service to Professional Development Programs Level:National 2011 -2015

Cincinnati Children's Hospital (Board Member as the statistician on the Data safety and management board (DSMB) for a therapeutic clinical trial in Duchenne muscular dystrophy, Cincinnati Children’s hospital ) Board Member Type:Service to Professional Associations Level:Regional 2010 -2012

Sankhya Series B (Associate Editor ) Associate Editor Type:Editorial Service Level:International 01-01-2016 -12-31-2018

IEEE/ACM Transactions on Computational Biology and Bioinformatics Peer Review/Referee Type:Editorial Service Level:International 2018

EAC-ISBA Special Interest Group Chair Type:Service to Professional Associations Level:International 07-2018

BMC Bioinformatics Peer Review/Referee Type:Editorial Service Level:National 08-2018

Courses Taught

15-STAT-534 SAS PROGRAMMING Level:Graduate

15-MATH-522 MATH STATISTICS

15-MATH-523 MATH STATISTICS

15-MATH-531 AP-STAT-INFERENCE

15-MATH-532 AP REGRESSION ANAL

15-MATH-533 ANALYS OF VARIANCE

15-MATH-576 TOP APPL STATISTIC

15-MATH-613 LIN MOD & MULT ANAL

15-MATH-614 LIN MOD & MULT ANAL

15-MATH-615 LIN MOD & MULT ANAL

15-STAT-614 LIN MOD/MULT ANALYS Level:Graduate

15-STAT-523 MATH STATISTICS Level:Graduate

15-STAT-615 LIN MOD/MULT ANALYS Level:Graduate

Linear Models and Multivariate Analysis I Level:Graduate

Advanced Statistical Computing Level:Graduate

Advanced Theory of Statistics Level:Graduate

-STAT-7023 LM AND MULTIVAR I Level:Graduate

-STAT-8023 ADV STAT COMP Level:Graduate

-STAT-6022 MATH STATS II Level:Both

Advanced Statistical Theory Level:Graduate

Statistical Theory Level:Graduate

Advanced Statistical Modeling Level:Graduate