Projects per year
Personal profile
Personal profile
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.
Research interests
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.
External positions
Professor of Research in Physiology and Biophysics, Weill Cornell Medicine
Dec 12 2019 → …
Research Area Keywords
- Cancer
- Imaging & Radiology
- Nanomedicine
- Precision Medicine
- Regenerative Medicine
- Systems Medicine & Bioinformatics
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Collaborations and top research areas from the last five years
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Nanoparticle delivery of miRNA-based therapeutics to overcome clinical challenges in triple negative breast cancer
Wang, Z. (PI) & Cristini, V. (Key Personnel)
3/4/21 → 2/28/26
Project: Federal Funding Agencies
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Imaging and Molecular correlates of progression in cystic neoplasms of the pancreas
Cristini, V. (PI) & Wang, Z. (Key Personnel)
9/1/18 → 8/31/21
Project: Federal Funding Agencies
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miR-155 targeted therapeutics for precision medicine in lung cancer
Cristini, V. (PI) & Wang, Z. (Key Personnel)
8/3/18 → 7/31/23
Project: Federal Funding Agencies
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A Targeted Nanomedicine Prototype Against Enzalutamide-resistant Prostate Cancer
Cristini, V. (PI) & Wang, Z. (Key Personnel)
8/1/18 → 7/31/23
Project: Federal Funding Agencies
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A new multiscale methodology and application to tumor growth modeling
Cristini, V. (PI) & Wang, Z. (CoI)
7/1/18 → 5/31/20
Project: Federal Funding Agencies
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Rational Design of Safer Inorganic Nanoparticles via Mechanistic Modeling-informed Machine Learning
Dogra, P., Cave, J., Christiono, A., Schiavone, C., Pownall, H., Cristini, V., Staquicini, D., Brinker, C., Campen, M., Wang, Z., Nguyen, H. V. & Noureddine, A., Feb 18 2025, In: Research square.Research output: Contribution to journal › Article
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Deep learning-derived optimal aviation strategies to control pandemics
Rizvi, S., Awasthi, A., Peláez, M. J., Wang, Z., Cristini, V., Van Nguyen, H. & Dogra, P., Oct 2 2024, In: Scientific Reports. 14, 1, p. 22926 22926.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Development of a Multiscale Mechanistic Model for Predicting Tumor Response to Anti-miR-155
Dogra, P., Butner, J. D., Cristini, V. & Wang, Z., 2024, 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024 - Proceedings. Institute of Electrical and Electronics Engineers Inc., (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Hybridizing mechanistic modeling and deep learning for personalized survival prediction after immune checkpoint inhibitor immunotherapy
Butner, J. D., Dogra, P., Chung, C., Koay, E. J., Welsh, J. W., Hong, D. S., Cristini, V. & Wang, Z., Aug 14 2024, In: npj Systems Biology and Applications. 10, 1, p. 88 88.Research output: Contribution to journal › Article › peer-review
Open Access -
Translational modeling-based evidence for enhanced efficacy of standard-of-care drugs in combination with anti-microRNA-155 in non-small-cell lung cancer
Dogra, P., Shinglot, V., Ruiz-Ramírez, J., Cave, J., Butner, J. D., Schiavone, C., Duda, D. G., Kaseb, A. O., Chung, C., Koay, E. J., Cristini, V., Ozpolat, B., Calin, G. A. & Wang, Z., Aug 2 2024, In: Molecular Cancer. 23, 1, p. 156 156.Research output: Contribution to journal › Article › peer-review
Open Access6 Scopus citations
Prizes
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2019 Travel award for the Biophysical Society Annual Meeting
Wang, Z. (Recipient), Mar 2019
Prize: Prize (including medals and awards)
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A Multiscale Agent-Based Model of Ductal Carcinoma in Situ
Butner, J. (Recipient) & Wang, Z. (Recipient), May 2020
Prize: Other distinction
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A multiscale mathematical model to study nanomedicine delivery in solid tumors
Dogra, P. (Recipient) & Wang, Z. (Recipient), Nov 2019
Prize: Other distinction
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