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Vittorio Cristini, PhD

Professor of Mathematics in Medicine, Academic Institute
Full Member, Research Institute
Director, Mathematics in Medicine Program
Houston Methodist


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

Image-guided mathematical modeling for pharmacological evaluation of nanomaterials and monoclonal antibodies
Dogra, P, Butner, JD, Nizzero, S, Ruiz Ramírez, J, Noureddine, A, Peláez, MJ, Elganainy, D, Yang, Z, Le, AD, Goel, S, Leong, HS, Koay, EJ, Brinker, CJ, Cristini, V & Wang, Z 2020, , Wiley Interdisciplinary Reviews: Nanomedicine and Nanobiotechnology, vol. 12, no. 5, e1628. https://doi.org/10.1002/wnan.1628

Investigating the Effect of Aging on the Pharmacokinetics and Tumor Delivery of Nanomaterials using Mathematical Modeling
Dogra, P, Butner, JD, Ramirez, JR, Cristini, V & Wang, Z 2020, . in 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society: Enabling Innovative Technologies for Global Healthcare, EMBC 2020., 9175322, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, vol. 2020-July, Institute of Electrical and Electronics Engineers Inc. pp. 2447-2450, 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020, Montreal, Canada, 7/20/20. https://doi.org/10.1109/EMBC44109.2020.9175322

Sequential deconstruction of composite drug transport in metastatic breast cancer
Goel, S, Zhang, G, Dogra, P, Nizzero, S, Cristini, V, Wang, Z, Hu, Z, Li, Z, Liu, X, Shen, H & Ferrari, M 2020, Science advances, vol. 6, no. 26, eaba4498. https://doi.org/10.1126/sciadv.aba4498

Mathematical prediction of clinical outcomes in advanced cancer patients treated with checkpoint inhibitor immunotherapy
Butner, JD, Elganainy, D, Wang, CX, Wang, Z, Chen, SH, Esnaola, NF, Pasqualini, R, Arap, W, Hong, DS, Welsh, J, Koay, EJ & Cristini, V 2020, , Science advances, vol. 6, no. 18, eaay6298. https://doi.org/10.1126/sciadv.aay6298

Mathematical modeling to address challenges in pancreatic cancer
Dogra, P, Ramírez, JR, Peláez, MJ, Wang, Z, Cristini, V, Parasher, G & Rawat, M 2020, , Current Topics in Medicinal Chemistry, vol. 20, no. 5, pp. 367-376. https://doi.org/10.2174/1568026620666200101095641

A mathematical model to predict nanomedicine pharmacokinetics and tumor delivery
Dogra, P, Butner, JD, Ruiz Ramírez, J, Chuang, YL, Noureddine, A, Jeffrey Brinker, C, Cristini, V & Wang, Z 2020, , Computational and Structural Biotechnology Journal, vol. 18, pp. 518-531. https://doi.org/10.1016/j.csbj.2020.02.014

Therapeutic potential of FLANC, a novel primate-specific long non-coding RNA in colorectal cancer
Pichler, M, Rodriguez-Aguayo, C, Nam, SY, Dragomir, MP, Bayraktar, R, Anfossi, S, Knutsen, E, Ivan, C, Fuentes-Mattei, E, Lee, SK, Ling, H, Catela Ivkovic, T, Huang, G, Huang, L, Okugawa, Y, Katayama, H, Taguchi, A, Bayraktar, E, Bhattacharya, R, Amero, P, He, WR, Tran, AM, Vychytilova-Faltejskova, P, Klec, C, Bonilla, DL, Zhang, X, Kapitanovic, S, Loncar, B, Gafà, R, Wang, Z, Cristini, V, Hanash, SM, Bar-Eli, M, Lanza, G, Slaby, O, Goel, A, Rigoutsos, I, Lopez-Berestein, G & Calin, GA 2020, , Gut, vol. 69, no. 10, pp. 1818-1831. https://doi.org/10.1136/gutjnl-2019-318903

Mathematical model of immunotherapy response to antibodies as a treatment for cancer
Simbawa, E, Alharbi, S, Aljohani, J, Abosamra, H, Aboushoushah, S & Cristini, V 2020, , Communications in Mathematical Biology and Neuroscience, vol. 2020, 23, pp. 1-13. https://doi.org/10.28919/cmbn/4570

Tumor core biopsies adequately represent immune microenvironment of high-grade serous carcinoma
Lara, OD, Krishnan, S, Wang, Z, Corvigno, S, Zhong, Y, Lyons, Y, Dood, R, Hu, W, Qi, L, Liu, J, Coleman, RL, Westin, SN, Fleming, ND, Cristini, V, Rao, A, Burks, J & Sood, AK 2019, , Scientific Reports, vol. 9, no. 1, pp. 17589. https://doi.org/10.1038/s41598-019-53872-1

Size-Optimized Ultrasmall Porous Silica Nanoparticles Depict Vasculature-Based Differential Targeting in Triple Negative Breast Cancer
Goel, S, Ferreira, CA, Dogra, P, Yu, B, Kutyreff, CJ, Siamof, CM, Engle, JW, Barnhart, TE, Cristini, V, Wang, Z & Cai, W 2019, , Small, vol. 15, no. 46, 1903747. https://doi.org/10.1002/smll.201903747

A multiscale agent-based model of ductal carcinoma in situ
Butner, JD, Fuentes, D, Ozpolat, B, Calin, GA, Zhou, X, Lowengrub, J, Cristini, V & Wang, Z 2019, , IEEE Transactions on Biomedical Engineering. https://doi.org/10.1109/TBME.2019.2938485

Ductal Carcinoma in Situ: Gaining new Biological Insights from Multiscale Mathematical Modeling
Cristini, V 2019, pp. 136.

Biophysical Modeling of Cancer In Silico
Cristini, V, Lowengrub, J & Wang, Z 2019, .

Mathematical modeling in cancer nanomedicine: a review
Dogra, P, Butner, JD, Chuang, YL, Caserta, S, Goel, S, Brinker, CJ, Cristini, V & Wang, Z 2019, , Biomedical Microdevices, vol. 21, no. 2, 40. https://doi.org/10.1007/s10544-019-0380-2

Predicting breast cancer response to neoadjuvant chemotherapy based on tumor vascular features in needle biopsies
Brocato, TA, Brown-Glaberman, U, Wang, Z, Selwyn, RG, Wilson, CM, Wyckoff, EF, Lomo, LC, Saline, JL, Hooda-Nehra, A, Pasqualini, R, Arap, W, Brinker, CJ & Cristini, V 2019, , JCI insight, vol. 4, no. 8, e126518. https://doi.org/10.1172/jci.insight.126518

Development of a Physiologically-Based Mathematical Model for Quantifying Nanoparticle Distribution in Tumors: The 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Dogra, P, Chuang, Y-L, Butner, J, Cristini, V & Wang, Z 2019, , pp. 2852-2855. https://doi.org/10.1109/EMBC.2019.8856503

In vivo imaging and mathematical modeling in nanoparticle pharmacokinetics
Cristini, V 2019, pp. 114.

Mass Transport Model of Radiation Response: Calibration and Application to Chemoradiation for Pancreatic Cancer
Cristini, V 2019, pp. E48.

Establishing the effects of mesoporous silica nanoparticle properties on in vivo disposition using imaging-based pharmacokinetics
Dogra, P, Adolphi, NL, Wang, Z, Lin, YS, Butler, KS, Durfee, PN, Croissant, JG, Noureddine, A, Coker, EN, Bearer, EL, Cristini, V & Brinker, CJ 2018, , Nature Communications, vol. 9, no. 1, 4551. https://doi.org/10.1038/s41467-018-06730-z

Understanding Ductal Carcinoma in Situ Invasion using a Multiscale Agent-Based Model*
Joseph Butner, D, Cristini, V & Wang, Z 2018, in 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018. vol. 2018-July, 8513542, Institute of Electrical and Electronics Engineers Inc. pp. 5846-5849, 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018, Honolulu, United States, 7/18/18. https://doi.org/10.1109/EMBC.2018.8513542