Vittorio Cristini

Vittorio Cristini, PhD

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


Mathematics in Medicine Program


Biography

Dr. Cristini is a leading expert and researcher in the fields of mathematical and computational biology, applied and computational mathematics, physical oncology, complex fluids and microfluidics, multidisciplinary (bio)materials science, and systems biology and medicine.

He was included in the 2014 ISI Highly-Cited Researchers in Mathematics, a total of less than one hundred mathematicians worldwide named “most influential scientific minds.” He served as editor for Cancer Research and several biomedical journals including NeuroImage and PloS Computational Biology. He has published two book monographs with Cambridge University Press in 2010 and with CRC Press in 2017, and over 90 peer-reviewed journal articles.

Dr. Cristini was the first recipient of the “Andreas Acrivos Dissertation Award in Fluid Dynamics” by the American Physical Society in 2000. His 2005 paper in the Bulletin of Mathematical Biology was in the top 0.1% of citations in the field of Mathematics and has been designated as a “New Hot Paper in the field of Mathematics” by the Institute for Scientific Information (ISI) Web of Knowledge; two articles have been featured in the Cancer Research Highlights of the American Association for Cancer Research. His research has been highly recognized internationally and by the media and several science museums in the US, and has been supported by the Cullen Trust for Health Care, the National Science Foundation, the National Institutes of Health, the Department of Defense, the States of California, Texas and New Mexico among the others.

For more than 15 years, Dr. Cristini has continually served in PI roles on several NSF, NIH, and DoD grants focused on the development of predictive multi-scale patient-specific computational models of tumor growth and mechanistic mathematical models of tumor response to chemo/immunotherapy, targeted therapy, and nano-therapeutics, most notably as part of multinstitutional grants including two NSF and joint NSF/NIGMS grants (funded in September 2017 and 2013, respectively), two R01s beginning in April and July 2018, two U01 NCI grants on pancreatic and gynecological cancers (funded in August 2015 and July 2017, respectively), two NCI Physical Sciences in Oncology Centers (PS-OC), one NCI Center for Excellence in Cancer Nanotechnology (CCNE), of which he served as the overall PI in 2015-2016, one NCI Integrative Cancer Biology Program (ICBP) center grant, and one NIGMS P50 grant in systems biology.

Dr. Cristini has developed and taught novel courses in Computational and Precision Biomedicine, and has mentored and trained graduate students, postdocs, and junior faculty, including the NIGMS Spatio-Temporal Modeling Center (STMC UNM) and the NIGMS-IRACDA Academic Science Education and Research Training (ASERT) program mentees.

Areas Of Expertise

Mathematical modeling
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.

Biophysical modeling of cancer in-silico
Dogra, P, Jeffrey Brinker, C, Chen, S-H, Chung, C, Fleming, JB, Lowengrub, J & Cristini, V 2022, . Springer.

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.

Protocol for mathematical prediction of patient response and survival to immune checkpoint inhibitor immunotherapy
Butner, J, Farhat, M, Cristini, V, Chung, C & Wang, Z 2022, , STAR Protocols, vol. 3. https://doi.org/10.1016/ j.xpro.2022.101886

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.

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. 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.

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 - 12/19/22. https://doi.org/10/17/22; 373194

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.

Mass Transport Model of Radiation Response: Calibration and Application to Chemoradiation for Pancreatic Cancer
Wang, CX, Elganainy, D, Zaid, MM, Butner, JD, Agrawal, A, Nizzero, S, Minsky, BD, Holliday, EB, Taniguchi, CM, Smith, GL, Koong, AC, Herman, JM, Das, P, Maitra, A, Wang, H, Wolff, RA, Katz, MHG, Crane, CH, Cristini, V & Koay, EJ 2022, , International Journal of Radiation Oncology Biology Physics, vol. 114, no. 1, pp. 163-172. https://doi.org/10.1016/j.ijrobp.2022.04.044

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.

Dedifferentiation-mediated stem cell niche maintenance in early-stage ductal carcinoma in situ progression: insights from a multiscale modeling study
Butner, JD, Dogra, P, Chung, C, Ruiz-Ramírez, J, Nizzero, S, Plodinec, M, Li, X, Pan, P-Y, Chen, S-H, Cristini, V, Ozpolat, B, Calin, GA & Wang, Z 2022, , Cell death & disease, vol. 13, no. 5, pp. 485. https://doi.org/10.1038/s41419-022-04939-x

Genetic and Structural Analysis of SARS-CoV-2 Spike Protein for Universal Epitope Selection
Markosian, C, Staquicini, DI, Dogra, P, Dodero-Rojas, E, Lubin, JH, Tang, FHF, Smith, TL, Contessoto, VG, Libutti, SK, Wang, Z, Cristini, V, Khare, SD, Whitford, PC, Burley, SK, Onuchic, JN, Pasqualini, R & Arap, W 2022, , Molecular Biology and Evolution. https://doi.org/10.1093/molbev/msac091

Genetic and Structural Analysis of SARS-CoV-2 Spike Protein for Universal Epitope Selection
Markosian, C, Staquicini, DI, Dogra, P, Dodero-Rojas, E, Lubin, JH, Tang, FHF, Smith, TL, Contessoto, VG, Libutti, SK, Wang, Z, Cristini, V, Khare, SD, Whitford, PC, Burley, SK, Onuchic, JN, Pasqualini, R & Arap, W 2022, , Molecular Biology and Evolution, vol. 39, no. 5, msac091. https://doi.org/10.1093/molbev/msac091

Dedifferentiation-mediated stem cell niche maintenance in early-stage ductal carcinoma in situ progression: insights from a multiscale modeling study
Butner, JD, Dogra, P, Chung, C, Ruiz-Ramírez, J, Nizzero, S, Plodinec, M, Li, X, Pan, PY, Chen, SH, Cristini, V, Ozpolat, B, Calin, GA & Wang, Z 2022, , Cell Death and Disease, vol. 13, no. 5, 485. https://doi.org/10.1038/s41419-022-04939-x