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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

Hybrid Cellular Automata Modeling Reveals the Effects of Glucose Gradients on Tumour Spheroid Growth
Messina, L, Ferraro, R, Peláez, MJ, Wang, Z, Cristini, V, Dogra, P & Caserta, S 2023, , Cancers, vol. 15, no. 23, 5660. https://doi.org/10.3390/cancers15235660

Hybrid Cellular Automata Modeling Reveals the Effects of Glucose Gradients on Tumour Spheroid Growth
Messina, L, Ferraro, R, Peláez, MJ, Wang, Z, Cristini, V, Dogra, P & Caserta, S 2023, , Cancers, vol. 15, no. 23, 5660. https://doi.org/10.3390/cancers15235660

Exploring Cell Migration Mechanisms in Cancer: From Wound Healing Assays to Cellular Automata Models
Migliaccio, G, Ferraro, R, Wang, Z, Cristini, V, Dogra, P & Caserta, S 2023, , Cancers, vol. 15, no. 21, 5284. https://doi.org/10.3390/cancers15215284, https://doi.org/10.3390/cancers15215284

Machine learning-based rational design of nanoparticles for improved safety in biomedical applications.
Cave, J, Wang, Z, Cristini, V & Dogra, P 2023, , Physiology, Biophysics and Systems Biology Annual Retreat, Weill Cornell Graduate School of Medicine, New York, United States, 11/2/23 - 11/2/23.

Exploring Cell Migration Mechanisms in Cancer: From Wound Healing Assays to Cellular Automata Models
Migliaccio, G, Ferraro, R, Wang, Z, Cristini, V, Dogra, P & Caserta, S 2023, , Cancers, vol. 15, no. 21, 5284. https://doi.org/10.3390/cancers15215284

Multiscale Modeling-Identified Synergistic Combinations of Anti-microRNA-155 and Standard-of-Care Drugs for Improved Outcomes in Non-small Cell Lung Cancer
Dogra, P, Cave, J, Butner, J, Cristini, V & Wang, Z 2023, , American Association of Pharmaceutical Scientists PharmSci 360 Conference 2023, Orlando, United States, 10/22/23 - 10/25/23.

Ceramide as an endothelial cell surface receptor and a lung-specific lipid vascular target for circulating ligands
Staquicini, DI, Cardó-Vila, M, Rotolo, JA, Staquicini, FI, Tang, FHF, Smith, TL, Ganju, A, Schiavone, C, Dogra, P, Wang, Z, Cristini, V, Giordano, RJ, Ozawa, MG, Driessen, WHP, Proneth, B, Souza, GR, Brinker, LM, Noureddine, A, Snider, AJ, Canals, D, Gelovani, JG, Petrache, I, Tuder, RM, Obeid, LM, Hannun, YA, Kolesnick, RN, Brinker, CJ, Pasqualini, R & Arap, W 2023, , Proceedings of the National Academy of Sciences of the United States of America, vol. 120, no. 34, e2220269120, pp. e2220269120. https://doi.org/10.1073/pnas.2220269120

Machine Learning-Based Feature Selection to Identify the Determinants of Tumor Delivery Efficiency of Nanoparticles.
Banerjee, D, Cave, J, Cristini, V, Wang, Z & Dogra, P 2023, , 2023 6th Annual MAPTA Summer Science Symposium, Houston Methodist Research Institute, Houston, 8/3/23 - 8/4/23.

Predicting Nanoparticle Toxicity Through Machine Learning Models.
Christiono, A, Cave, J, Cristini, V, Wang, Z & Dogra, P 2023, , 2023 6th Annual MAPTA Summer Science Symposium, Houston Methodist Research Institute, Houston, 8/3/23 - 8/4/23.

Mechanistic modeling of anti-microRNA-155 therapy combinations in lung cancer
Cave, J, Shinglot, V, Butner, JD, Cristini, V, Ozpolat, B, Calin, GA, Dogra, P & Wang, Z 2023, , Paper presented at 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Sydney, Australia, 7/24/23 - 7/27/23.

Mechanistic modeling for optimal design of dissolvable microneedle-based patches for transdermal drug delivery
Peláez, MJ, Ramírez, JR, Shen, Y, Birur, R, Schiavone , C, Cristini, V, Puri, A, Wang, Z & Dogra, P 2023, , Paper presented at 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Sydney, Australia, 7/24/23 - 7/27/23.

Multiscale Mechanistic Modeling of Nanoparticle-Delivered Anti-microRNA-155 Therapy and Its Combination With Standard-of-Care Drugs in Lung Cancer
Dogra, P, Shinglot, V, Cave, J, Cristini, V & Wang, Z 2023, , 17th U. S. National Congress on Computational Mechanics, Albuquerque, United States, 7/23/23 - 7/27/23.

Mechanistic modeling of anti-microRNA-155 therapy combinations in lung cancer
Cave, J, Shinglot, V, Butner, JD, Cristini, V, Ozpolat, B, Calin, GA, Dogra, P & Wang, Z 2023, , Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, vol. 2023, pp. 1-4. https://doi.org/10.1109/EMBC40787.2023.10341114

Mechanistic modeling for optimal design of dissolvable microneedle-based patches for transdermal drug delivery
Pelaez, MJ, Ruiz-Ramirez, J, Shen, Y, Birur, RM, Schiavone, C, Cristini, V, Puri, A, Wang, Z & Dogra, P 2023, , Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, vol. 2023, pp. 1-4. https://doi.org/10.1109/EMBC40787.2023.10341093

Evaluating novel imaging-based mathematical modeling prediction of immunotherapy response by individual melanoma brain metastasis and patient prognosis
Farhat, M, Butner, J, Wang, Z, Bronk, JK, Elliott, A, Wang, C, Tawbi, HA, Cristini, V & Chung, C 2023, , Journal of clinical oncology : official journal of the American Society of Clinical Oncology, vol. 41, no. 16, e14013.

Prospective Subunit Nanovaccine against Mycobacterium tuberculosis Infection-Cubosome Lipid Nanocarriers of Cord Factor, Trehalose 6,6' Dimycolate.
Sarkar, S, Mishra, A, Periasamy, S, Dyett, B, Dogra, P, Ball, AS, Yeo, LY, White, JF, Wang, Z, Cristini, V, Jagannath, C, Khan, A, Soni, SK, Drummond, CJ & Conn, CE 2023, , ACS Applied Materials and Interfaces, vol. 15, no. 23, pp. 27670-27686. https://doi.org/10.1021/acsami.3c04063

A modeling-based approach to optimize COVID-19 vaccine dosing schedules for improved protection
Dogra, P, Schiavone, C, Wang, Z, Ruiz-Ramírez, J, Caserta, S, Staquicini, DI, Markosian, C, Wang, J, Sostman, HD, Pasqualini, R, Arap, W & Cristini, V 2023, , JCI insight, vol. 8, no. 13, e169860. https://doi.org/10.1172/jci.insight.169860

Local Delivery of Drugs in a 3D Bioengineered Subcutaneous Niche: Biodistribution and Pharmacokinetics.
Capuani, S, Hernandez, N, Paez-Mayorga, J, Dogra, P, Wang, Z, Cristini, V, Chua, CYX, Nichols, J & Grattoni, A 2023, , 8th Nano Today Conference, San Diego, United States, 4/22/23 - 4/25/23.

Nanomechanical Signature of Low Dose Radiation-induced Tumor Stroma Remodulation Mediates Tumor Response in Lung Adenocarcinoma
Nizzero, S, Srivastava, G, Wang, Z, Dogra, P, Cristini, V & Welsh, JW 2023, , Gordon Research Seminar: Physical Sciences of Cancer, Galveston, United States, 2/4/23 - 2/5/23.

Highly Multiplexed Spatial Analysis of Breast Cancer Tissues Reveals Functional Mechanical Drivers for Long Term Patient Outcome
Nizzero, S, Gachechiladze, M, Dogra, P, Wang, Z, Cristini, V & Thompson, AM 2023, , Gordon Research Seminar: Physical Sciences of Cancer, Galveston, United States, 2/4/23 - 2/5/23.