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Zhihui Wang, PhD

Research Professor of Computational Biology in Medicine, Academic Institute
Full Research Member, Research Institute
Houston Methodist
Weill Cornell Medical College


Biography

Dr. Wang is an expert at the forefront of research in the fields of computational biology, modeling-aided drug target discovery, biophysical modeling of drug transport, and multiscale cancer modeling. Dr. Wang has developed expertise in both computational and translational research, and has successfully acted as an intermediary, catalyst, and team leader at the intersection of mathematics/engineering and the biology/medical fields. This intermediary role between medical and mathematical fields is of particular importance, facilitating discoveries that are only possible through a joining of these distinct but important research fields.

Description of Research

Dr. Wang’s research spans a broad spectrum of applied mathematics, probability modeling, and systems biology and medicine. Dr. Wang’s research focuses on integrating mathematical, physical, and statistical methods with experimental investigations and patient data analysis to quantitatively study tumor progression and invasion, to help improve prediction of treatment efficacy and optimize treatment planning. Furthermore, he has been developing practical mathematical tools that can potentially be used by doctors in the clinic to predict the outcome for each individual patient prior to actual treatment. 

Publications

Computational approaches for multiscale modeling
Butner, J, Dogra, P, Cristini, V, Deisboeck, TS & Wang, Z 2023, . in RA Bradshaw, PD Stahl & J Hart (eds), Encyclopedia of Cell Biology. 2 edn, Elsevier.

Protocol for mathematical prediction of patient response and survival to immune checkpoint inhibitor immunotherapy
Butner, JD, Farhat, M, Cristini, V, Chung, C & Wang, Z 2022, , STAR Protocols, vol. 3, no. 4, 101886. https://doi.org/10.1016/j.xpro.2022.101886, https://doi.org/10.1016/j.xpro.2022.101886

Protocol for mathematical prediction of patient response and survival to immune checkpoint inhibitor immunotherapy
Butner, JD, Farhat, M, Cristini, V, Chung, C & Wang, Z 2022, , STAR Protocols, vol. 3, no. 4, 101886. https://doi.org/10.1016/j.xpro.2022.101886

Localization of drug biodistribution in a 3D-bioengineered subcutaneous neovascularized microenvironment
Capuani, S, Hernandez, N, Paez-Mayorga, J, Dogra, P, Wang, Z, Cristini, V, Chua, CYX, Nichols, JE & Grattoni, A 2022, , Materials Today Bio, vol. 16, pp. 100390. https://doi.org/10.1016/j.mtbio.2022.100390

Localization of drug biodistribution in a 3D-bioengineered subcutaneous neovascularized microenvironment
Capuani, S, Hernandez, N, Paez-Mayorga, J, Dogra, P, Wang, Z, Cristini, V, Chua, CYX, Nichols, JE & Grattoni, A 2022, , Materials Today Bio, vol. 16, 100390. https://doi.org/10.1016/j.mtbio.2022.100390

Computational approaches for multiscale modeling
Butner, J, Dogra, P, Cristini, V, Deisboeck, TS & Wang, Z 2022, . in RA Bradshaw, PD Stahl & J Hart (eds), Encyclopedia of Cell Biology. 2nd edn, Elsevier. <https://www.elsevier.com/books/encyclopedia-of-cell-biology/bradshaw/978-0-12-821618-7>

A quantitative spatial analysis of microenvironmental biomarkers for breast cancer outcome
Nizzero, S, Pelaez, M, Menegaz, BA, Quinlan, P, Wang, Z, Sepulveda, KA, Cristini, V, Plodinec, M & Thompson, AM 2022, , The San Antonio Breast Cancer Symposium (SABCS) 2022, San Antonio, United States, 12/6/22 - 12/10/22.

Mathematical modeling of cancer immunotherapy for personalized clinical translation
Butner, J, Dogra, P, Chung, C, Pasqualini, R, Arap, W, Lowengrub, J, Cristini, V & Wang, Z 2022, , Nature Computational Science.

Mathematical modeling of cancer immunotherapy for personalized clinical translation
Butner, JD, Dogra, P, Chung, C, Pasqualini, R, Arap, W, Lowengrub, J, Cristini, V & Wang, Z 2022, , Nature Computational Science, vol. 2, no. 12, pp. 785-796. https://doi.org/10.1038/s43588-022-00377-z

Zonal Intratumoral Delivery of Nanoparticles Guided by Surface Functionalization
Terracciano, R, Carcamo-Bahena, Y, Royal, ALR, Messina, L, Delk, J, Butler, EB, Demarchi, D, Grattoni, A, Wang, Z, Cristini, V, Dogra, P & Filgueira, CS 2022, , Langmuir, vol. 38, no. 45, pp. 13983-13994. https://doi.org/10.1021/acs.langmuir.2c02319

Zonal Intratumoral Delivery of Nanoparticles Guided by Surface Functionalization
Terracciano, R, Carcamo-Bahena, Y, Royal, ALR, Messina, L, Delk, J, Butler, EB, Demarchi, D, Grattoni, A, Wang, Z, Cristini, V, Dogra, P & Filgueira, CS 2022, , Langmuir, vol. 38, no. 45, pp. 13983-13994. https://doi.org/10.1021/acs.langmuir.2c02319

Growth Kinetic Mathematical Modeling to Predict Individual Melanoma Brain Metastasis Response to Immunotherapy
Farhat, M, Butner, J, Wang, Z, Cristini, V, Bronk, JK, Elliott, A & Chung, C 2022, , Radiological Society of North America 108th Scientific Assembly and Annual Meeting 2022, Chicago, United States, 11/27/22 - 12/1/22.

Deep learning-derived optimal aviation strategies to control pandemics
Rizvi, S, Awasthi, A, Peláez, MJ, Wang, Z, Cristini, V, Nguyen, HV & Dogra, P 2022, , arXiv preprint arXiv:2109.14743. https://doi.org/10.1109/EMBC44109.2020.9175322

Mathematical modeling to optimize dosing schedules for COVID-19 vaccines
Dogra, P, Schiavone , C, Caserta, S, Wang, Z & Cristini, V 2022, , American Association of Pharmaceutical Scientists PharmSci 360 Conference, Boston, United States, 10/16/22 - 10/19/22.

Mathematical Modeling to Optimize Dosing Schedules for COVID-19 Vaccines
Dogra, P, Schiavone , C, Caserta, S, Wang, Z & Cristini, V 2022, , American Association of Pharmaceutical Scientists PharmSci 360 Conference, Boston, United States, 10/16/22 - 10/19/22. https://doi.org/10/17/22; 373194

Cellular Automata Modelling Reveals Dynamics of Wound Healing Assay
Migliaccio, G, Ferraro, R, Wang, Z, Cristini, V, Dogra, P & Caserta, S 2022, , SSRN Electronic Journal. <https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4227003>

Mathematical modeling identifies optimal dosing schedules for COVID-19 vaccines to minimize breakthrough infections
Dogra, P, Schiavone, C, Wang, Z, Ramírez, JR, Caserta, S, Staquicini, DI, Markosian, C, Wang, J, Sostman, HD, Pasqualini, R, Arap, W & Cristini, V 2022, , medRxiv. https://doi.org/10.1101/2022.09.14.22279959

Pharmacokinetic modeling of cancer nanomedicine
Dogra, P, Goel, S, Wang, Z & Cristini, V 2022, . in Cancer Systems Biology and Translational Mathematical Oncology. Oxford University Press.

Mathematical modeling of microneedle-based transdermal drug delivery for immediate- and extended-release applications
Birur, R, Peláez, MJ, Puri, A, Wang, Z, Cristini, V & Dogra, P 2022, , 2022 5th Annual MAPTA Summer Science Symposium, 8/4/22 - 8/5/22.

Development of Mathematical Biomarkers for Predicting Cancer Immunotherapy Outcome
Butner, J, Cristini, V & Wang, Z 2022, , The Society for Industrial and Applied Mathematics (SIAM) Conference on Life Sciences (LS22), Pittsburgh, United States, 7/11/22 - 7/14/22.