Vittorio Cristini

Vittorio Cristini, PhD

Professor of 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.

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.

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

Mathematical modeling for optimization of COVID-19 vaccine dosing schedules in healthy and special populations

Perioperative nivolumab monotherapy versus nivolumab plus ipilimumab in resectable hepatocellular carcinoma: a randomised, open-label, phase 2 trial
Kaseb, AO, Hasanov, E, Cao, HST, Xiao, L, Vauthey, JN, Lee, SS, Yavuz, BG, Mohamed, YI, Qayyum, A, Jindal, S, Duan, F, Basu, S, Yadav, SS, Nicholas, C, Sun, JJ, Singh Raghav, KP, Rashid, A, Carter, K, Chun, YS, Tzeng, CWD, Sakamuri, D, Xu, L, Sun, R, Cristini, V, Beretta, L, Yao, JC, Wolff, RA, Allison, JP & Sharma, P 2022, , The Lancet Gastroenterology and Hepatology, vol. 7, no. 3, pp. 208-218. https://doi.org/10.1016/S2468-1253(21)00427-1

Translational Modeling Identifies Synergy between Nanoparticle-Delivered miRNA-22 and Standard-of-Care Drugs in Triple-Negative Breast Cancer
Dogra, P, Ramírez, JR, Butner, JD, Peláez, MJ, Chung, C, Hooda-Nehra, A, Pasqualini, R, Arap, W, Cristini, V, Calin, GA, Ozpolat, B & Wang, Z 2022, , Pharmaceutical Research. https://doi.org/10.1007/s11095-022-03176-3

Translational Modeling Identifies Synergy between Nanoparticle-Delivered miRNA-22 and Standard-of-Care Drugs in Triple-Negative Breast Cancer
Dogra, P, Ramírez, JR, Butner, JD, Peláez, MJ, Chung, C, Hooda-Nehra, A, Pasqualini, R, Arap, W, Cristini, V, Calin, GA, Ozpolat, B & Wang, Z 2022, , Pharmaceutical Research. https://doi.org/10.1007/s11095-022-03176-3

Diffusion-induced anisotropic cancer invasion: A novel experimental method based on tumor spheroids
Ferraro, R, Ascione, F, Dogra, P, Cristini, V, Guido, S & Caserta, S 2022, , AIChE Journal, vol. 68, no. 7, e17678. https://doi.org/10.1002/aic.17678

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

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, , pp. 4230-4233. https://doi.org/10.1109/EMBC46164.2021.9630862

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

Impact of mathematical modeling in understanding and controlling the COVID-19 pandemic

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