Piaomu Liu

  • Associate Professor, Mathematical Sciences
  • Ph.D. University of South Carolina
  • MS The University of Iowa
  • BA Carleton College

Teaching Interests

Data science (analytics, statistical learning, etc), Applied multivariate statistics, and Lifetime Data Analysis

Research Interests

Lifetime data analysis (recurrent event & competing risks), joint dynamic modeling, semiparametric methods, interdisciplinary research and topics in data science.

Professional Memberships

  • INFORMS/Applied Probability Society 2017 - Present
  • Institute of Mathematical Statistics 2017 - Present
  • International Chinese Statistical Association 2017 - Present
  • International Society of Bayesian Analysis 2017 - Present
  • International Biometrics Society (ENAR) 2014 - Present
  • American Statistical Assoiation 2009 - Present
  • Awards and Honors

  • 2018, Faculty Affairs Committee (FAC) Grant, Bentley University
  • 2017, Seed Funds, Bentley Health Thought Leadership Network
  • 2017, 2018, 2019, 2020, Summer Research Grant , Bentley Univeristy
  • 2015, The Graduate School Travel Grant, USC-Columbia
  • 2015, Boyd Harshbarger Travel Award, SRCOS Summer Research Conference
  • 2015, Travel Grant, Dept. of Statistics, USC-Columbia
  • 2015, Outstanding Graduate Assistant Award, Dept. of Statistics, USC-Columbia
  • 2014, Travel Grant, The 3rd Workshop on Biostatistics and Bioinformatics Workshop
  • 2014, The Graduate School Travel Grant, USC-Columbia
  • 2014, Travel Grant , Dept. of Statistics, USC-Columbia
  • 2013, Citizenship Award, Dept. of Statistics, USC-Columbia
  • 2010, Thank-a-Teacher Letter Recognition, The University of Iowa
  • 2005, Starr Cross-Cultural Scholarship (Full Scholarship for Four Years), The Starr Foundation
  • Publications

    Journal Articles


  • Edwards, D., Liu, P., Delage, A. (2023). Model-Based Stratification of Payment Populations in Medicare Integrity Investigations. Survey Methodology, (49) 2 607-626.
  • Li, M., Lo, V., Liu, P., Smith, E. (2022). The impact of Timothy’s Law on hospitalization among patients with mental health conditions in New York State. International Journal of Mental Health Systems, (16) 25
  • Bhaduri, M., Dery, J., Haughton, D. M., Li, T., Liu, P., Nan, W. (2021). Dynamics of Reward- Based Crowdfunding: Kickstarter Rock Music Projects. Chance , (34) 1
  • Watson, S., Cooper, K., Liu, P., Gharraee, N., Du, ., Han , S., Peña, E., Sutton, M., Eberth, J., Lessner, S. (2020). Diet Alters Age-related Remodeling of Aortic Collagen in Mice Susceptible to Atherosclerosis. American Journal of Physiology-Heart and Circulatory Physiology, (320)
  • Oliver, D., Ji, H., Liu, P., Gasparian , A., Gardiner, E., Lee, S., Zenteno, A., Prinskaya, L. O., Chen, M., Buckhaults, P., Broude, E., Wyatt, M. D., Valafar, H., Peña, E., Shtutman, . (2017). Identification of novel cancer therapeutic targets using a designed and pooled shRNA library screen. Scientific Reports/Nature Research Journals. 7 (Link)
  • Liu, P., Peña, E. A. (2016). Sojourning with the Homogeneous Poisson Process. The American Statistician, (70) 4 413-423. (Link)
  • Watson, S. R., Liu, P., Peña, E. A., Sutton, M. A., Eberth, J. E., Lessener, S. M. (2016). Comparison of Aortic Collagen Fiber Angle Distribution in Mouse Models of Atherosclerosis Using Second-Harmonic Generation (SHG) Microscopy. Microscopy and microanalysis , (22) 1 55-62.

    Book Chapters


  • Liu, P., Peña, E. A. (2016). Dynamic Modeling & Analysis of Recurrent Competing Risks and a Terminal Event In , (Eds.) Statistical, Stochastic and Data Analysis Methods and Applications. ISAST: International Society for the Advancement of Science and Technology, 2015

  • Conference Proceedings


  • Peña, E.Liu, P. (2019). Joint Modeling of Discrete-valued Marker Process, Competing Recurrent Events Process, and Discrete-value Health Status Process. ISI World Congress 2019 Conference Proceedings, Special Topic Session.
  • Liu, P.Peña, E. (2015). Joint Dynamic Modeling of Recurrent Competing Risks and a Terminal Event Proceedings of the 9th International Conference on Mathematical Methods in Reliability.
  • Watson, S.Liu, P.Peña, E. A.Sutton, M.Eberth, J.Lessner, S. (2015). Diet-induced Vascular Remodeling Produces a Shift in Collagen Fiber Angle Distribution in a Mouse Model of Atherosclerosis The FASEB Journal 29.1_supplement (2015): 719-9.

  • Presentations

  • Liu, P. (2020). “HPP-based Recurrent Event Models and Joint Modeling of Recurrent Competing Risks and Terminal Event” Presented at theInternational Conference in Mathematics and Applications (ICMA-MU) Thailand, Bangkok (virtual)
  • Liu, P. (2020). “Predictive Accuracy Gains in Joint Dynamic Modeling of Recurrent Competing Risks and Terminal Event” Presented at the American Statistical Association Joint Statistical Meeting Virtual
  • Liu, P. (2019). “A Simulation Approach to Predicting Time to Terminal Event in Joint Dynamic Modeling” Presented at the American Statistical Association Joint Statistical Meeting Denver, CO
  • Liu, P. (2019). “Joint Dynamic Modeling of Longitudinal Marker, Recurrent Competing Risks and Terminal Event” Presented at the The Lifetime Data Science Section of ASA 2019 Conference on Lifetime Data Science: Foundations and Frontiers Pittsburgh, PA
  • Liu, P. (2017). “Thinking about Music Statistically” Presented at the Bentley University Bentley University DART Seminar CMT, Bentley University
  • Liu, P., Peña, E. A. (2016). “Sojourning With the Homogeneous Poisson Process” Presented at the Bentley University 4th Annual Research Showcase Poster Session and Reception Bentley University
  • Liu, P., Peña, E. (2016). “Model Diagnostics of a Class of Joint Dynamic Models of Recurrent Competing Risks and Terminal Event ” Presented at the American Statistical Associatioin Joint Statistical Meeting Chicago, IL
  • Liu, P., Peña, E. (2015). “Joint Dynamic Modeling of Recurrent Competing Risks and a Terminal Event,” Presented at theJoint Statistical Meeting Seattle, WA
  • Liu, P., Peña, E. (2015). “Joint Dynamic Modeling of Recurrent Competing Risks and a Terminal Event,” Presented at the NISS/SAMSI SRCOS Summer Research Conference Wilmington, NC
  • Liu, P., Peña, E. (2015). “Joint Dynamic Modeling of Recurrent Competing Risks and a Terminal Event,” Presented at the Dept. of Statistics, USC-Columbia Research Seminar Columbia, SC
  • Liu, P., Peña, E. (2014). “Distributional Properties and Peculiarities of HPP-Based Recurrent Event Models” Presented at the NSF, IMS, ICSA, the GSU Research Foundation, and the Dept. of Mathematics and Statistics in the GSU. 3rd Workshop on Biostatistics And Bioinformatics Atlanta, Geogia
  • Liu, P., Peña, E. (2014). “Distributional Properties and Peculiarities of HPP-Based Recurrent Event Models” Presented at theENAR Conference Baltimore, MD
  • Li, M., Lo, V., Liu, P., Smith, E. (2011). “How did the Timothy’s Law impact on hospitalization among mental patients in New York State? A causal approach on a mental disparity policy.” Presented at the American Statistics Association Joint Statistical Meeting virtual
  • Service

    Department Service


  • MS in Business Analytics Program Internship Coordinator 2019 - Present
  • Committee Member for Data Analytics Major Curriculum Committee 2019 - Present
  • Committee Member for Graduate (MS/PhD) Curriculum Committee 2016 - Present
  • Social Committee 2019 - 2019
  • University Service


  • Co-affiliate Liaison Contact for National Institute of Statistical Sciences (NISS) 2018 - Present
  • Seminar organizer for Bentley Health Thought Leadership Network 2018 - 2019
  • Advisor for LSM Concentration - Quantitative Perspectives 2017 - 2018
  • Professional Service


  • Reviewer, Conference Paper for Hawaii International Conference on System Sciences (HICSS) 2024, Mini Track "Data Analytics, Data Mining, and Machine Learning for Social Media" - 2023
  • Reviewer, Journal Article for Statistics and Its Interface - 2023
  • Reviewer, Journal Article for Technometrics - 2023
  • Webmaster for Boston Chapter of American Statistical Association (BCASA) 2021 - 2023
  • Publications Officer for Section on Risk Analysis, the American Statistical Association 2020 - 2021
  • Reviewer, Conference Paper for Hawaii International Conference on System Sciences (HICSS) 2022, Mini Track "Data Analytics, Data Mining, and Machine Learning for Social Media" - 2021
  • Reviewer, Journal Article for Journal of Statistical Theory and Practice - 2021
  • Committee Member for Analytics Without Borders Conference Organizing Committee 2020 - 2021
  • Committee Member for Analytics Without Borders Conference Organizing Committee 2019 - 2020
  • Reviewer, Book for Taylor and Francis Group, 2017 - 2019
  • Reviewer, Conference Paper for Hawaii International Conference on System Sciences (HICSS) 2020, Mini Track "Data Analytics, Data Mining, and Machine Learning for Social Media" - 2019
  • Reviewer, Journal Article for The American Statistician - 2019
  • Reviewer, Conference Paper for Hawaii International Conference on System Sciences (HICSS) 2019, Mini Track "Data Analytics, Data Mining, and Machine Learning for Social Media" - 2018
  • Committee Member for Bernard Harris Memorial Symposium: Risk in the 21st Century, ASA Section on Risk Analysis 2018 - 2018