Ph.D., MS
Professor of Nursing, Statistics, and Computer Science
Research Areas
· AI/ML in health and medicine, [causal] manifold learning, multimodal data & dynamics (neuroimage/wearables/EHR/omics), clinical trial & design
· Pain management, mental health, ADRD, cancer, infectious diseases
Hongyu Miao

Contact Information

Email
hmiao@fsu.edu
Phone
(850) 644-5292
Fax
(850) 644-7660
Office
SCN 411

Dr. Miao is currently a tenured Professor of Nursing, Statistics, and Computer Science at Florida State University (2022-present). He previously served as the Modeling Core Co-Director of the Center for Biodefense Immune Modeling (CBIM, 2010-2015) and the Associate Director of Biostatistics, Bioinformatics and Computational Biology Core for the Center for AIDS Research (CFAR, 2013-2015) at University of Rochester. He was the Director of Data Science Education Program (DSEP) and the Director of Biostatistics Collaboration and Data Service Center (CBCDS) at UTHealth School of Public Health (2017-2021). Dr. Miao served or is serving on multiple international/national conference committees and NIH/NSF grant review panels. He is also leading a national training program on clinical trial design under an official agreement with top pharmaceutical companies like "AbbVie". Over the past 18 years, Dr. Miao has built records in research (e.g., clinical trial design and analysis, AI in health and medicine, causal manifold learning, multimodal data analysis), funding (nine research projects as PI or MPI, including both NSF and NIH awards), publication (130+ peer-reviewed research articles, including JASA, AOS, IEEE TPAMI, JACC, and Science/Nature journals), collaboration (40+ clinical trials, 20+ R01 and research center grants, with a total budget over $35 million dollars), and education program (15+ courses, seven postdocs, eight junior faculty members, and 40+ graduate students). 

EDUCATION

M.S., Biostatistics and Computational Biology, University of Rochester, Rochester, NY, USA, 2011

Ph.D., Mechanical Engineering, University of Rochester, Rochester, NY, USA, 2007

M.S., Mechanical Engineering, University of Rochester, Rochester, NY, USA., 2004

M.S., Engineering Mechanics, Tsinghua University, Beijing, China, 2002

B.S., Engineering Mechanics, Tsinghua University, Beijing, China, 1999

HONORS AND AWARDS

Spring ’22 Collaborative Collision, Florida State University, 1st Place Team, 2022  

IEEE EMBS Best Paper Award, Transactions on Neural Systems and Rehabilitation Engineering, 2nd Place, 2021 

Provost’s Multidisciplinary Award, 1st Place, University of Rochester, 2008 

David P. Byar Young Investigator Travel Award, ASA Biometrics, 2008 

Full Assistantship for the Pd.D. program at University of Rochester, 2002-2006 

Outstanding Student Scholarship, Tsinghua University, 1996-1999 

PROFESSIONAL AFFILIATIONS

Institute of Electrical and Electronics Engineers (IEEE)  

American Association for the Advancement of Science (AAAS) 

Association for Computing Machinery (ACM) 

American Statistical Association (ASA) 

SELECTED PUBLICATIONS

  1. Zhou, H., Skalski-Fouts, Z., Nguyen, L., Rivera, C., Spring, B., Miao, H., Zhang, X., “Longitudinal Behavioral Change Coaching with Multi LLM Agents: Multi-scale Summaries and Automated Dialogue Steering”, Smart Health 41, 100694 (2026)  

  1. Park, J., Lee, C., Lin, L., Fain, M.J., Telkes, I., Dahmer, S., Park, L., Hoang, J., Miao, H., Ahn, H., "A Randomized Trial of a Digitally Delivered, Home-Based Neuromodulation and Mindfulness Intervention for Pain Management in Older Adults with Knee Osteoarthritis", NPJ Digital Medicine 9:397 (2026) 

  1. Xin, X., Shang, Z., Miao, H., Du, P., “Model-free Multivariate Change Point Detection and Localization with Statistical Guarantee”, Statistica Sinica 38(2), (in print, 2026) 

  1. Feng, H., Qiu, X., Miao, H., “Hypothesis Testing for Two Sample Comparison of Non-Euclidean Network Data”, Communications in Statistics - Theory and Methods 55(6), 1807-1837 (2026) 

  1. Miao, H., Pine, M., Lantis II, J.C., Fife, C., “Comparison of intact fish-skin graft to standard of care for treatment of venous leg ulcers using real-world data from the USWR with 1:1 matching on 14 wound/patient factors”, The International Journal of Tissue Repair 1(1), 1-10 (2025) 

  1. He, Z., Pang, Y., von Hollen, L., Castano, M., Kinsell, H., Adams, T., Roberson, K., Born, P., Miao, H., “Usability and Acceptance of In-App Social-Interacting Features for Promoting Adherence to Computerized Cognitive Training: A Pilot Evaluation”, Journal of Cognitive Enhancement 9, 439-454 (2025) 

  1. Feng, H, Zhang, C, Assaf, A., Mekhael, M., Lim, C., Bidaoui, G., Younes, H., Bsoul, M., Massad, C., Liu, Y., Jia, Y., Chung, Y., Hassan, A., Ayoub, T.H., Ksayer, R., Perez, B.G., Li, Y., Kreidieh, O., Rao, S., Pandey, A.C., Yu, D., He, H., Li, X., Miao, H., Marrouche, N.F., “Regional Volume And Regional Fibrosis Add Significant Information To The Prediction Of Atrial Fibrillation Recurrence Using Machine Learning Model”, JACC. 85 (12_Supplement) 126 (2025).  

  1. Serpa, J.A., Gemeinhardt, G., Arias, C., Morgan, R., Russell, H., Miao, H., Cazaban, C.G., “Penalization Among Teaching and Safety-net Hospitals Participating in the Hospital Acquired Condition Reduction Program”, JAMA Network Open 7(2): e2356196 (2024) 

  1. Zhong, C., Miao, H., Pan, H., “A Bayesian Two-stage Group Sequential Scheme for Ordinal Endpoints”, Journal of Royal Statistical Society Series C 72(3), 670-687 (2023) 

  1. Martorella, G., Mathis, K., Miao, H., Wang, D., Park, L., Ahn, H., “Self-administered Transcranial Direct Current Stimulation for Pain in Older Adults with Knee Osteoarthritis: A Randomized Controlled Study”, Brain Stimulation 15(4), 902-909 (2022) 

  1. Gao, S., Martcheva, M., Miao, H., Rong, L., “The Impact of Vaccination on Human Papillomavirus Infection with Disassortative Geographical Mixing: A Two-patch Modeling Study”, Journal of Mathematical Biology 84(6), 43 (2022) 

  1. Gao, S., Martcheva, M., Miao, H., Rong, L., “A Two-sex Model of Human Papillomavirus Infection: Vaccination Strategies and A Case Study”, Journal of Theoretical Biology 536, 111006 (2022) 

  1. Nascimbene, A., McAlister, C.A., Yo, D., Kumar, S., Hernandez, M., Jezovnik, M.K., Feng, H., Miao, H., Basra, S., de Armas, I.A.S., Radovancevic, R., Gregoric, I.D., Kar, B., “Periprocedural Outcomes in TAVR: Focus on Calcium, Valve Position, and Pre-existing Conduction Defects”, JACC: Cardiovascular Interventions 15 (4), 466-468 (2022)  

  1. Zhong, C., Xu, L., Peng, H.L., Tam, S., Xu, L., Dahlstrom, K.L., Wu, C.F., Fu, S., Chan, W., Sturgis, E.M., Ramondetta, L., Rong, L., Lairson, D.R., Miao, H., “An Economic and Disease Transmission Model of Human Papillomavirus and Oropharyngeal Cancer in Texas”, Scientific Reports 11(1), 1802 (2021) 

  1. Li, D., Kim, S., Li, J., Gao, Q., Choi, J., Bian, F., Hu, J., Li, Y., Zhang, Y., Li, J., Lu, R., Li, Y., Pflugfelder, S.C., Miao, H., Chen, R., “Single-Cell Transcriptomics Identifies Limbal Stem Cell Population and Cell Types Mapping Its Differentiation Trajectory in Limbal Basal Epithelium of Human Cornea”, The Ocular Surface 20, 20-32 (2021) 

  1. Gao, S., Martcheva, M., Miao, H., Rong, L., “A Dynamic Model to Assess Human Papillomavirus Vaccination Strategies in A Heterosexual Population Combined with Men Who Have Sex with Men”, Bulletin of Mathematical Biology 83(1), 5 (2020)  

  1. Pollonini, L., Montero-Hernandez, S., Park, L., Miao, H., Mathis, K., Ahn, H., “Functional Near Infrared Spectroscopy to Assess Central Pain Responses in A Non-Pharmacologic Treatment Trial of Osteoarthritis”, Journal of Neuroimaging 30(6), 808-814 (2020) 

  1. Wang, S., Pan, Y., Wang, Q., Miao, H., Brown, A.N., Rong, L., “Modeling the Viral Dynamics of SARS-CoV-2 Infection”, Mathematical Bioscience 328: 108438 (2020) 

  1. Miao, H., Gao, Q., Feng, H., Zhong, C., Zhu, P., Wu, L., Swartz, M. D., Luo, X., DeSantis, S. M., Lai, D., Bauer, C., Pérez, A., Rong, L., Lairson, D., “Mathematical Modeling of Business Reopening when Facing SARS-CoV-2 Pandemic: Protection, Cost and Risk”, Frontiers in Applied Mathematics and Statistics 6(35), 1-16 (2020) 

  1. Pollonini, L., Miao, H., Ahn, H., “Longitudinal Effect of Transcranial Direct Current Stimulation on Knee Osteoarthritis Patients Measured by Functional Infrared Spectroscopy: A Pilot Study”, Neurophotonics 7(2), 025004 (2020) 

  1. Sun, J., Du, P., Miao, H., Liang, H., “Robust Feature Screening Procedures for Single and Mixed Types of Data”, Journal of Statistical Computation and Simulation 90(7), 1173-1193 (2020) 

  1. Serpa, J.A., Huynh, G.N., Nickell, J.B., Miao, H., “HIV Pre-Exposure Prophylaxis and Increased Incidence of Sexually Transmitted Infections in the United States”, Clinical Infectious Diseases 70(9),1884-1890 (2019). Impact factor: 9.12  

  1. Ren, K., Yang, H., Zhao, Y., Chen, W., Xue, M., Miao, H., Huang, S., Liu, J., “A Robust AUC Maximization Framework with Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification”, IEEE Transactions on Neural Networks and Learning Systems 30(10), 3072 - 3083 (2019) 

  1. Peng, H.L., Tam, S., Xu, L., Dahlstrom, K.R., Wu, C.F., Fu, S., Zhong, C., Chan, W., Sturgis, E.M., Ramondetta, L., Rong, L., Lairson, D.R., Miao, H., “Age-Structured Population Modeling of HPV-related Cervical Cancer in Texas and US”, Scientific Reports 8(1), 14346 (2018) 

  1. Yu, B., Egbejimi, A., Dharmat, R., Xu, P., Zhao, Z., Miao, H., Chen, R., Wensel, T., Cai, J., Chen, Y., “Phagocytosed Photoreceptor Outer Segments Activate Mtorc1 in the Retinal Pigment Epithelium”, Science Signaling 11(532), eaag3315 (2018) 

  1. Lu, N., Li, T., Ke, L., Miao, H., “A Deep Learning Scheme for Motor Imagery Classification based on Restricted Boltzmann Machines”, IEEE Transactions on Neural System and Rehabilitation Engineering 25(6), 566-576 (2017) 

  1. Gui, S., Rice, A.P., Chen, R., Wu, L., Liu, J., Miao, H., “A Scalable Algorithm for Structure Identification of Complex Gene Regulatory Network from Temporal Expression Data”, BMC Bioinformatics 18(1), 74 (2017) 

  1. Lu, N., Miao, H., “Clustering Tree-Structured Data on Manifold”, IEEE Transactions on Pattern Analysis and Machine Intelligence 38(10), 1956-1968 (2016) 

  1. Liu, Z., Miao, H., “Prediction of Protein-RNA Interactions Using Sequence and Structure Descriptors”, Neurocomputing 206, 28-34 (2016) 

  1. Lu, N., Miao, H., “Structure Constrained Nonnegative Matrix Factorization for Pattern Clustering and Classification”, Neurocomputing 171, 400-411 (2016) 

  1. Miao, H., Wu, H., Xue, H., “Generalized Ordinary Differential Equation Models”, Journal of the American Statistical Association 109(508), 1672-1682 (2014) 

  1. Lu, N., Silva, J., Gu, Y., Gerber, S., Wu, H., Lord, E., Gelbard, H., Dewhurst, S., Miao, H., “Directional Histogram Ratio at Random Probes: A Local Thresholding Criterion for Capillary Images”, Pattern Recognition 46(7), 1933-1948 (2013) 

  1. Miao, H., Jin, X., Perelson, A.S., Wu, H., “Evaluation of Multitype Mathematical Models for CFSE-labeling Experiment Data”, Bulletin of Mathematical Biology 74(2), 300-326 (2012) 

  1. Miao, H., Xia, X., Perelson, A.S., and Wu H., “On Identifiability of Nonlinear ODE Models with Applications in Viral Dynamics”, SIAM Review 53(1), 3-39 (2011) 

  1. Liang, H., Miao, H., and Wu, H., “Estimation of Constant and Time-varying Dynamic Parameters of HIV Infection in a Nonlinear Differential Equation Model”, Annals of Applied Statistics 4(1), 460-483 (2010) 

  1. Miao, H., Hollenbaugh, J., Zand, M., Holden-Wiltse, J., Mosmann, T.R., Perelson, A.S., Wu, H., Topham, D.J., “Quantifying the Early Immune Response and Adaptive Immune Response Kinetics in Mice Infected by Influenza A Virus”, Journal of Virology 84(13), 6687-6698 (2010) 

  1. Xue, H., Miao, H., and Wu, H., “Sieve Estimation of Constant and Time-varying Coefficients in Nonlinear Ordinary Differential Equation Models by Considering both Numerical Error and Measurement Error”, Annals of Statistics 38(4), 2351-2387 (2010) 

  1. Miao, H., Dykes, C., Demeter, L.M., and Wu, H., “Differential Equation Modeling of HIV Viral Fitness Experiments: Model Identification, Model Selection, and Multi-model Inference”, Biometrics 65(1), 292-300 (2009) 

  1. Lee, H. Y., Topham, D. J., Park, S. Y., Hollenbaugh, J., Treanor, J. J., Mosmann, T. R., Jin, X., Ward, B. , Miao, H., Holden-Wiltse, J., Perelson, A. S., Zand, M. S., Wu, H., “Simulation and Prediction of the Adaptive Immune Response to Influenza A Virus Infection”, Journal of Virology 83(14), (2009) 

SELECTED RESEARCH GRANTS

  1. Enhancing Dedicated AI Infrastructure for Behavioral and Digital Health Research, FSU Large Equipment Enhancement Program (LEEP), #556, $53,000 (Co-PI), 2025-2026 

  2. Pain-related Brain Mechanisms for Pain Catastrophizing Behavior in Response to Home-based Mindfulness-based Meditation Paired with Transcranial Direct Current Stimulation, NIH/NINR, 3R01NR019051-03S1, $484,992 (MPI), 2022-2023 

  3. ASCENT: Multimodal chest e-tattoo with customized IC and deep learning algorithm for tracking and predicting progressive pneumonia, NSF/ECCS, 2133106, $1,500,000 (Co-PI), 2021-2026 

  4. Analysis of Longitudinal Multiscale Data in Immunological Bioinformatics - Feature Selection, Graphical Models, and Structure Identification, NSF/DMS, 1620957, $138,000 (PI), 2016-2020 

  5. Targeting BRD4 and TAT-associated Inhibitory Proteins to Reactivate Latent HIV, NIH/NIAID, 1 R21-33 AI116180-01, $250,000 (Co-PI), 2014-2016 

  6. Identification of Interferon Stimulated Genes Regulating Viral Latency, Collaborative Bioinformatics Pilot Award, Center for Integrative Bioinformatics and Experimental Mathematics, University of Rochester, $50,000 (Co-PI), 2014-2015 

  7. Interaction between Aging and HIV-associated Neurological Disorder, Collaborative Bioinformatics Pilot Award, Center for Integrative Bioinformatics and Experimental Mathematics, University of Rochester, $42,219 (Co-PI), 2013-2014 

  8. Computational Approaches for HIV Viral Fitness Research, Mentoring Award, University of Rochester Development Center for AIDS Research, $20,000 (PI), 2008-2009 

  9. Computational Approaches for HIV Viral Fitness Research, Provost’s Multidisciplinary Awards, University of Rochester, $70,000 (PI), 2008-2009