Boyi Guo

Boyi Guo, PhD, MS

Languages spoken: English, Chinese

Academic Information

Departments Primary - Population Health Sciences

Academic Office Information

boyi.guo@hsc.utah.edu

Dr. Boyi Guo is an Assistant Professor in the Biostatistics Division of Population Health Sciences Department at the University of Utah. He develops computational tools to integrate and analyze population-scale molecular and clinical datasets to uncover mechanisms behind complex diseases, such as psychiatric disorders and cancer. Before joining University of Utah, he earned his PhD in Biostatistics from the University of Alabama Birmingham and completed a postdoctoral fellowship at Johns Hopkins Bloomberg School of Public Health. His methodological and collaborative contribtions has been featured in journals including Nature Methods, Bioinformatics, and Science.

Education History

Undergraduate University of Illinois at Urbana-Champaign
 BS
Undergraduate University of Illinois at Urbana-Champaign
 BS
Graduate Training University of Illinois at Urbana-Champaign
 MS
Doctoral Training University of Alabama at Birmingham
 PhD
Fellowship Johns Hopkins Bloomberg School of Public Health
 Postdoctoral Fellow

Selected Publications

Journal Article

  1. Totty M, Hicks SC, Guo B (2024). SpotSweeper: spatially-aware quality control for spatial transcriptomics. bioRxiv.
  2. Guo B, Ling W, Kwon SH, Panwar P, Ghazanfar S, Martinowich K, Hicks SC (2025). Integrating spatially-resolved transcriptomics data across tissues and individuals: Challenges and opportunities.(Epub ahead of print) Small Methods, e2401194.
  3. Huuki-Myers LA, Spangler A, Eagles NJ, Montgomery KD, Kwon SH, Guo B, Grant-Peters M, Divecha HR, Tippani M, Sriworarat C, Nguyen AB, Ravichandran P, Tran MN, Seyedian A, PsychENCODE Consortium¿, Hyde TM, Kleinman JE, Battle A, Page SC, Ryten M, Hicks SC, Martinowich K, Collado-Torres L, Maynard KR, PsychENCODE Consortium (2024). A data-driven single-cell and spatial transcriptomic map of the human prefrontal cortex. Science, 384(6698), eadh1938.
  4. Malla G, Long DL, Cherrington A, Goyal P, Guo B, Safford MM, Khodneva Y, Cummings DM, McAlexander TP, DeSilva S, Judd SE, Hidalgo B, Levitan EB, Carson AP (2024). Neighborhood Disadvantage and Risk of Heart Failure: The Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study. Circ Cardiovasc Qual Outcomes, 17(3), e009867.
  5. Guo B, Huuki-Myers LA, Grant-Peters M, Collado-Torres L, Hicks SC (2023). escheR: unified multi-dimensional visualizations with Gestalt principles. Bioinform Adv, 3(1), vbad179.
  6. Lin X, Xiao HM, Liu HM, Lv WQ, Greenbaum J, Gong R, Zhang Q, Chen YC, Peng C, Xu XJ, Pan DY, Chen Z, Li ZF, Zhou R, Wang XF, Lu JM, Ao ZX, Song YQ, Zhang YH, Su KJ, Meng XH, Ge CL, Lv FY, Luo Z, Shi XM, Zhao Q, Guo BY, Yi NJ, Shen H, Papasian CJ, Shen J, Deng HW (2023). Gut microbiota impacts bone via Bacteroides vulgatus-valeric acid-related pathways. Nat Commun, 14(1), 6853.
  7. Bhave VM, Ament Z, Patki A, Gao Y, Kijpaisalratana N, Guo B, Chaudhary NS, Guarniz AG, Gerszten R, Correa A, Cushman M, Judd S, Irvin MR, Kimberly WT (2023). Plasma Metabolites Link Dietary Patterns to Stroke Risk. Ann Neurol, 93(3), 500-510.
  8. Kamin Mukaz D, Guo B, Long DL, Judd SE, Plante TB, McClure LA, Wolberg AS, Zakai NA, Howard G, Cushman M (2022). D-dimer and the risk of hypertension: The REasons for Geographic And Racial Differences in Stroke Cohort Study. Res Pract Thromb Haemost, 7(1), 100016.
  9. Guo B, Jaeger BC, Rahman AKMF, Long DL, Yi N (2022). Spike-and-slab least absolute shrinkage and selection operator generalized additive models and scalable algorithms for high-dimensional data analysis. Stat Med, 41(20), 3899-3914.
  10. Peper KM, Guo B, Leann Long D, Howard G, Carson AP, Howard VJ, Judd SE, Zakai NA, Cherrington A, Cushman M, Plante TB (2022). C-reactive Protein and Racial Differences in Type 2 Diabetes Incidence: The REGARDS Study. J Clin Endocrinol Metab, 107(6), e2523-e2531.
  11. Long DL, Guo B, McClure LA, Jaeger BC, Tison SE, Howard G, Judd SE, Howard VJ, Plante TB, Zakai NA, Koh I, Cheung KL, Cushman M (2022). Biomarkers as MEDiators of racial disparities in risk factors (BioMedioR): Rationale, study design, and statistical considerations. Ann Epidemiol, 66, 13-19.
  12. Guo B, Holscher H, Auvil L, Welge M, Bushell C, Novotny J, Baer D, Burd N, Khan N, Zhu R (2021). Estimating Heterogeneous Treatment Effect on Multivariate Responses Using Random Forests. Stat Biosci, 15, 545¿61.
  13. Plante TB, Long DL, Guo B, Howard G, Carson AP, Howard VJ, Judd SE, Jenny NS, Zakai NA, Cushman M (2021). C-Reactive Protein and Incident Hypertension in Black and White Americans in the REasons for Geographic And Racial Differences in Stroke (REGARDS) Cohort Study. Am J Hypertens, 34(7), 698-706.
  14. Cummings DM, Patil SP, Long DL, Guo B, Cherrington A, Safford MM, Judd SE, Howard VJ, Howard G, Carson AP (2021). Does the Association Between Hemoglobin A(1c) and Risk of Cardiovascular Events Vary by Residential Segregation? The REasons for Geographic And Racial Differences in Stroke (REGARDS) Study. Diabetes Care, 44(5), 1151-1158.
  15. Zhang X, Guo B, Yi N (2020). Zero-Inflated gaussian mixed models for analyzing longitudinal microbiome data. PLoS One, 15(11), e0242073.
  16. Pendegraft AH, Guo B, Yi N (2019). Bayesian hierarchical negative binomial models for multivariable analyses with applications to human microbiome count data. PLoS One, 14(8), e0220961.
  17. Seifert ME, Gaut JP, Guo B, Jain S, Malone AF, Geraghty F, Della Manna DL, Yang ES, Yi N, Brennan DC, Mannon RB (2019). WNT pathway signaling is associated with microvascular injury and predicts kidney transplant failure. Am J Transplant, 19(10), 2833-2845.
  18. Tang Z, Lei S, Zhang X, Yi Z, Guo B, Chen JY, Shen Y, Yi N (2019). Gsslasso Cox: a Bayesian hierarchical model for predicting survival and detecting associated genes by incorporating pathway information. BMC Bioinformatics, 20(1), 94.
  19. Yi N, Tang Z, Zhang X, Guo B (2019). BhGLM: Bayesian hierarchical GLMs and survival models, with applications to genomics and epidemiology. Bioinformatics, 35(8), 1419-1421.
  20. Zhang X, Pei YF, Zhang L, Guo B, Pendegraft AH, Zhuang W, Yi N (2018). Negative Binomial Mixed Models for Analyzing Longitudinal Microbiome Data. Front Microbiol, 9, 1683.
  21. Bashir M, Wee C, Memon N, Guo B (2017). Profiling cybersecurity competition participants: Self-efficacy, decision- making and interests predict effectiveness of competitions as a recruitment tool. Comput Secur, 65, 153-165.
  22. Bashir M, Lambert A, Guo B, Memon N, Halevi T (2015). Cybersecurity Competitions: The Human Angle. IEEE Secur Priv, 13(5), 74 - 79.
  23. Shah KH, Guo B, Hicks SC (2024). Addressing the mean-variance relationship in spatially resolved transcriptomics data with spoon. bioRxiv.
  24. Zhou H, Panwar P, Guo B, Hallinan C, Ghazanfar S, Hicks SC (2024). Spatial mutual nearest neighbors for spatial transcriptomics data. bioRxiv.
  25. Guo B, Li L, Rudolph JE (2023). Statistical thinking in simulation design: a continuing conversation on the balancing intercept problem. ArXiv.
  26. Guo B, Yi N (2022). A scalable and flexible Cox proportional hazard model for high-dimensional survival prediction and functional selection. ArXiv.
  27. Guo B, Yi N (2022). The R Package BHAM: Fast and scalable Bayesian hierarchical additive model for high- dimensional data. ArXiv.
  28. Totty M, Hicks SC, Guo B (2025). SpotSweeper: spatially aware quality control for spatial transcriptomics. Nat Methods, 22(7), 1520-1530.
  29. Zhou H, Panwar P, Guo B, Hallinan C, Ghazanfar S, Hicks SC (2025). Spatial mutual nearest neighbors for spatial transcriptomics data. Bioinformatics, 41(8).
  30. Shah K, Guo B, Hicks SC (2024). Addressing the mean-variance relationship in spatially resolved transcriptomics data with spoon. Biostatistics, 26(1).

Abstract

  1. Peper KM, Guo B, Long L, Howard G, Carson AP, Howard VJ, Judd SE, Zakai NA, Cherrington A, Cushman M, Plante TB (2020). C-reactive Protein and Racial Differences in Type 2 Diabetes Incidence: Reasons for Geographic and Racial Differences in Stroke (REGARDS) [Abstract]. Circulation, 141(Suppl_1), AP300.
  2. Subramaniam A, Guo B, Lobashevsky E, van der Pol W, Lefkowitz E, Morrow C, Owen J (2020). Association of the cervicovaginal microbiome with cervical shortening in women with prior spontaneous preterm birth [Abstract]. American Journal of Obstetrics & Gynecology, 222(1), S268-9.
  3. Subramaniam A, Guo B, Lobashevsky E, van der Pol W, Lefkowitz, E, Morrow C, Owen J (2020). Effect of intramuscular progesterone on the cervicovaginal microbiome in high-risk women with midtrimester cervical shortening [Abstract]. American Journal of Obstetrics & Gynecology, 222(1), S268.
  4. Subramaniam A, Guo B, Lobashevsky E, van der Pol W, Lefkowitz E, Morrow C, Szychowski JM, Yi N, Owen J (2020). Are cervicovaginal microbiome differences associated with cerclage success in high-risk women with cervical shortening? [Abstract]. American Journal of Obstetrics & Gynecology, 222(1), S123.
  5. Subramaniam A, Guo B, Lobashevsky E, van der Pol W, Lefkowitz E, Morrow C, Owen J (2020). Longitudinal changes in the cervicovaginal microbiome in high-risk women who experience midtrimester cervical shortening [Abstract]. American Journal of Obstetrics & Gynecology, 222(1), S73-4.
  6. Subramaniam A, Guo B, Wetta, L., Lobashevsky E, van der Pol W, Lefkowitz E, Owen J (2020). Association of cervicovaginal microbial changes with pro-and anti-inflammatory biomarkers in cervicovaginal fluid [Abstract]. American Journal of Obstetrics & Gynecology, 222(1), S15-6.
  7. Bashir M, Lambert A, Wee JMC, Guo B (2015). An examination of the vocational and psychological characteristics of cybersecurity competition participants [Abstract]. USENIX Summit on Gaming, Games, and Gamification in Security Education (3GSE ¿15).

Other

  1. Bashir M, Lambert A, Wee JMC, Guo B (2015). An examination of the vocational and psychological characteristics of cybersecurity competition participants. USENIX Summit on Gaming, Games, and Gamification in Security Education (3GSE ¿15)
  2. Guo B, Samorodnitsky S (2022). Keep your receipts: A guide for early-career statisticians to navigate conferences’ hidden curriculum. JEDI Corner AmstatNews.

Video/Film/CD/Web/Podcast

  1. Guo B (2022). Calculating residential segregation indices with decennial US census data in an R reproducible workflow. Practice-Related Report [Web]. Available: https://github.com/boyiguo1/Tutorial-Residential_Segregation_Score.
  2. Guo B, Cui J (2021). Automating simulation studies with high-performance computing platform. Practice-Related Report [Web]. Available: https://github.com/boyiguo1/Tutorial-Sim_Cluster_Composer.
  3. Guo B (2024). SpotSweeper. Software, R package to identify outliers spot and large technical artifacts by calculating local mean and variance of standard QC metrics [Web], Bioconductor. Available: https://www.bioconductor.org/packages/release/bioc/html/SpotSweeper.html.
  4. Guo B (2025). tpSVG. Software, R package to model gene expression of spatially resolved transcriptomics data using generalized geo-additive models [Web], Bioconductor. Available: https://www.bioconductor.org/packages/release/bioc/html/tpSVG.html.
  5. Guo B (2025). spoon. Software, R package addresses the mean-variance relationship in spatially resolved transcriptomics data [Web], Bioconductor. Available: https://www.bioconductor.org/packages/release/bioc/html/spoon.html.
  6. Guo B (2025). escheR. Software, R package built off of ggplot2 and the Gestalt principles to visualize multi-dimensional data in the 2D space (e.g. embedding or spatial visualizations) [Web], Bioconductor. Available: https://www.bioconductor.org/packages/release/bioc/html/escheR.html.
  7. Guo B (2020). R/BHAM. Software, R package to build scalable Bayesian hierarchical additive models using spike-and-slab priors for high-dimensional data analysis [Web], GitHub. Available: https://github.com/boyiguo1/BHAM/blob/master/README.Rmd.
  8. Guo B (2021). R (C++)/MOTE.RF. Software R package to build random forests algorithm to infer treatment effect for multivariate outcome [Web], GitHub. Available: https://github.com/boyiguo1/MOTE.RF/blob/master/NAMESPACE.
  9. Guo B (2018). R/BhGLM. Software R package for fast-computing Bayesian Hierarchical GLMs and survival model [Web], GitHub. Available: https://github.com/nyiuab/BhGLM.
  10. Guo B (2019). R/TibbleOne. Software, Convenient framework to tabulate participant characteristics for epidemiology studies [Web], GitHub. Available: https://github.com/bcjaeger/tibbleOne/.