Unknown

Zhihui Wang, PhD

Associate Research Professor of Mathematics in Medicine, Academic Institute
Associate 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.

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.

A Multiscale Model to Identify Limiting Factors in Nanoparticle-based miRNA Delivery for Tumor Inhibition
Dogra, P, Ramírez, JR, Butner, J, Peláez, MJ, Cristini, V & Wang, Z 2021, , Paper presented at 43rd Annual International IEEE Engineering in Medicine and Biology Society Conference, 10/31/21 - 11/4/21. https://doi.org/10.1109/EMBC46164.2021.9630862

Early prediction of clinical response to checkpoint inhibitor therapy in human solid tumors through mathematical modeling
Butner, JD, Martin, GV, Wang, Z, Corradetti, B, Ferrari, M, Esnaola, N, Chung, C, Hong, DS, Welsh, JW, Hasegawa, N, Mittendorf, EA, Curley, SA, Chen, S-H, Pan, P-Y, Libutti, SK, Ganesan, S, Sidman, RL, Pasqualini, R, Arap, W, Koay, EJ & Cristini, V 2021, , eLife, vol. 10. https://doi.org/10.7554/eLife.70130

A Multiscale Model to Identify Limiting Factors in Nanoparticle-Based miRNA Delivery for Tumor Inhibition
Dogra, P, Ramirez, JR, Butner, JD, Pelaez, MJ, Cristini, V & Wang, Z 2021, , Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, vol. 2021, pp. 4230-4233. https://doi.org/10.1109/EMBC46164.2021.9630862

Early prediction of clinical response to checkpoint inhibitor therapy in human solid tumors through mathematical modeling
Butner, JD, Martin, GV, Wang, Z, Corradetti, B, Ferrari, M, Esnaola, N, Chung, C, Hong, DS, Welsh, JW, Hasegawa, N, Mittendorf, EA, Curley, SA, Chen, SH, Pan, PY, Libutti, SK, Ganesan, S, Sidman, RL, Pasqualini, R, Arap, W, Koay, EJ & Cristini, V 2021, , eLife, vol. 10, e70130. https://doi.org/10.7554/eLife.70130

Translational modeling identifies synergy between nanoparticle-delivered miRNA-22 and standard-of-care drugs in triple negative breast cancer
Dogra, P, Ramírez, JR, Butner, J, Peláez, MJ, Chung, C, Hooda-Nehra, A, Pasqualini, R, Arap, W, Cristini, V, Calin, GA, Ozpolat, B & Wang, Z 2021, , medRxiv. https://doi.org/10.1101/2021.10.19.21265154

Predicting immune checkpoint inhibitor response with mathematical modeling
Butner, JD & Wang, Z 2021, , Immunotherapy, vol. 13, no. 14, pp. 1151-1155. https://doi.org/10.2217/imt-2021-0209

Apropos of Universal Epitope Discovery for COVID-19 Vaccines: A Framework for Targeted Phage Display-Based Delivery and Integration of New Evaluation Tools
Markosian, C, Staquicini, DI, Dogra, P, Dodero-Rojas, E, Tang, FHF, Smith, TL, Contessoto, VG, Libutti, SK, Wang, Z, Cristini, V, Whitford, PC, Burley, SK, Onuchic, JN, Pasqualini, R & Arap, W 2021, , bioRxiv. https://doi.org/10.1101/2021.08.30.458222

Translational mechanistic modeling for treatment optimization of nanoparticle-delivered miRNA-22 therapy in triple negative breast cancer
Dogra, P, Ruiz-Ramirez, J, Peláez, MJ, Butner, J, Cristini, V & Wang, Z 2021, , 9th Annual Houston Methodist Cancer Symposium, 8/27/21.

Targeting a cell surface vitamin d receptor on tumor-associated macrophages in triple-negative breast cancer
Staquicini, FI, Hajitou, A, Driessen, WHP, Proneth, B, Cardó-Vila, M, Staquicini, DI, Markosian, C, Hoh, M, Cortez, M, Hooda-Nehra, A, Jaloudi, M, Silva, IT, Buttura, J, Nunes, D, Dias-Neto, E, Eckhardt, B, Ruiz-Ramírez, J, Dogra, P, Wang, Z, Cristini, V, Trepel, M, Anderson, R, Sidman, RL, Gelovani, JG, Cristofanilli, M, Hortobagy, G, Bhujwalla, ZM, Burley, S, Arap, W & Pasqualini, R 2021, , eLife, vol. 10, e65145. https://doi.org/10.7554/eLife.65145

Conversion of RNA Aptamer into Modified DNA Aptamers Provides for Prolonged Stability and Enhanced Antitumor Activity
Amero, P, Lokesh, GLR, Chaudhari, RR, Cardenas-Zuniga, R, Schubert, T, Attia, YM, Montalvo-Gonzalez, E, Elsayed, AM, Ivan, C, Wang, Z, Cristini, V, Franciscis, VD, Zhang, S, Volk, DE, Mitra, R, Rodriguez-Aguayo, C, Sood, AK & Lopez-Berestein, G 2021, , Journal of the American Chemical Society, vol. 143, no. 20, pp. 7655-7670. https://doi.org/10.1021/jacs.9b10460

Is the worst of the COVID-19 global pandemic yet to come? Application of financial mathematics as candidate predictive tools
Dogra, P, Koay, EJ, Wang, Z, Vahidy, FS, Ferrari, M, Pasqualini, R, Arap, W, Boom, ML, Dirk Sostman, H & Cristini, V 2021, , Translational Psychiatry, vol. 11, no. 1, 299. https://doi.org/10.1038/s41398-021-01429-0

A mathematical model to predict cancer nanomedicine delivery
Wang, Z & Dogra, P, , 2021, Web publication/site, Research Outreach. https://doi.org/10.32907/RO-122-1291505468

Targeted Phage Display-based Pulmonary Vaccination in Mice and Non-human Primates
Staquicini, DI, Barbu, EM, Zemans, RL, Dray, BK, Staquicini, FI, Dogra, P, Cardó-Vila, M, Miranti, CK, Baze, WB, Villa, LL, Kalil, J, Sharma, G, Prossnitz, ER, Wang, Z, Cristini, V, Sidman, RL, Berman, AR, Panettieri, RA, Tuder, RM, Pasqualini, R & Arap, W 2021, , Med (New York, N.Y.), vol. 2, no. 3, pp. 321-342. https://doi.org/10.1016/j.medj.2020.10.005

Amphibian regeneration and mammalian cancer: Similarities and contrasts from an evolutionary biology perspective: Comparing the regenerative potential of mammalian embryos and urodeles to develop effective strategies against human cancer
Corradetti, B, Dogra, P, Pisano, S, Wang, Z, Ferrari, M, Chen, S-H, Sidman, RL, Pasqualini, R, Arap, W & Cristini, V 2021, , BioEssays, vol. 43, no. 7, pp. e2000339. https://doi.org/10.1002/bies.202000339

ncRNA therapy with miRNA-22-3p suppresses the growth of triple-negative breast cancer
Gorur, A, Bayraktar, R, Ivan, C, Mokhlis, HA, Bayraktar, E, Kahraman, N, Karakas, D, Karamil, S, Kabil, NN, Kanlikilicer, P, Aslan, B, Tamer, L, Wang, Z, Cristini, V, Lopez-Berestein, G, Calin, G & Ozpolat, B 2021, , Molecular Therapy - Nucleic Acids, vol. 23, pp. 930-943. https://doi.org/10.1016/j.omtn.2021.01.016

Erratum: A multiscale Agent-Based Model of Ductal Carcinoma in Situ (IEEE Trans. Biomed. Eng (2020) 67: 5 (1450-1461) DOI: 10.1109/TBME.2019.2938485)
Butner, JD, Fuentes, D, Ozpolat, B, Calin, GA, Zhou, X, Lowengrub, J, Cristini, V & Wang, Z 2021, , IEEE Transactions on Biomedical Engineering, vol. 68, no. 2, 9331330, pp. 736. https://doi.org/10.1109/TBME.2020.3044508

A mathematical model to estimate chemotherapy concentration at the tumor-site and predict therapy response in colorectal cancer patients with liver metastases
Anaya, DA, Dogra, P, Wang, Z, Haider, M, Ehab, J, Jeong, DK, Ghayouri, M, Lauwers, GY, Thomas, K, Kim, R, Butner, JD, Nizzero, S, Ramírez, JR, Plodinec, M, Sidman, RL, Cavenee, WK, Pasqualini, R, Arap, W, Fleming, JB & Cristini, V 2021, , Cancers, vol. 13, no. 3, 444, pp. 1-18. https://doi.org/10.3390/cancers13030444

A Mathematical Model to Estimate Chemotherapy Concentration at the Tumor-Site and Predict Therapy Response in Colorectal Cancer Patients with Liver Metastases
Anaya, DA, Dogra, P, Wang, Z, Haider, M, Ehab, J, Jeong, DK, Ghayouri, M, Lauwers, GY, Thomas, K, Kim, R, Butner, JD, Nizzero, S, Ramírez, JR, Plodinec, M, Sidman, RL, Cavenee, WK, Pasqualini, R, Arap, W, Fleming, JB & Cristini, V 2021, , Cancers, vol. 13, no. 3. https://doi.org/10.3390/cancers13030444