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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

Imaging-Based Subtypes of Pancreatic Ductal Adenocarcinoma Exhibit Differential Growth and Metabolic Patterns in the Pre-Diagnostic Period: Implications for Early Detection
Zaid, M, Elganainy, D, Dogra, P, Dai, A, Widmann, L, Fernandes, P, Wang, Z, Pelaez, MJ, Ramirez, JR, Singhi, AD, Dasyam, AK, Brand, RE, Park, WG, Rahmanuddin, S, Rosenthal, MH, Wolpin, BM, Khalaf, N, Goel, A, Von Hoff, DD, Tamm, EP, Maitra, A, Cristini, V & Koay, EJ 2020, , Frontiers in Oncology, vol. 10, 596931. https://doi.org/10.3389/fonc.2020.596931

Imaging-based subtypes of pancreatic ductal adenocarcinoma exhibit differential growth and metabolic patterns in the pre-diagnostic period: implications for early detection
Staquicini, D, Barbu, E, Zemans, R, Dray, B, Staquicini, F, Dogra, P, Wang, Z, Cristini, V, Sidman, RL, Berman, A, Tuder, R, Pasqualini, R & Arap, W 2020, , Med.

Pharmacological activity and cancer theranostic applications of lipid-coated silica nanoparticles
Dogra, P, Butner, J, Cristini, V & Wang, Z 2020, . in M Saravanan & H Barabadi (eds), Cancer Nanotheranostics. Nanotechnology in the Life Sciences, Springer.

A mechanistic immunotherapy model provides patient-specific quantification of immune response and associated long-term tumor burden
Butner, J, Wang, Z, Elganainy, D, Plodinec, M, Calin, GA, Dogra, P, Nizzero, S, Ruiz Ramírez, J, Chung, C, Koay, EJ, Welsh, J, Hong, DS & Cristini, V 2020, , Nature Biomedical Engineering.

Imaging-based subtypes of pancreatic ductal adenocarcinoma exhibit differential growth and metabolic patterns in the pre-diagnostic period: implications for early detection
Zaid, M, Elganainy, D, Dogra, P, Dai, A, Fernandes, P, Wang, Z, Peláez, MJ, Ruiz Ramírez, J, Singhi, AD, Brand, RE, Tamm, EP, Cristini, V & Koay, EJ 2020, , Frontiers in Oncology. https://doi.org/10.3389/fonc.2020.596931

A mathematical model to estimate chemotherapy concentration at the tumor-site and to predict therapy response in colorectal cancer patients with liver metastases
Anaya, DA, Dogra, P, Wang, Z, Ghayouri, M, Lauwers, GY, Kim, R, Butner, J, Nizzero, S, Ruiz Ramírez, J, Plodinec, M, Sidman, RL, Pasqualini, R, Arap, W, Fleming, JB & Cristini, V 2020, , Cancers.

Intratumoral injection of hydrogel-embedded nanoparticles enhances retention in glioblastoma
Brachi, G, Ruiz-Ramírez, J, Dogra, P, Wang, Z, Cristini, V, Ciardelli, G, Rostomily, RC, Ferrari, M, Mikheev, AM, Blanco, E & Mattu, C 2020, , Nanoscale. https://doi.org/10.1039/d0nr05053a

Innate immunity plays a key role in controlling viral load in COVID-19: mechanistic insights from a whole-body infection dynamics model
Dogra, P, Ruiz-Ramírez, J, Sinha, K, Butner, JD, Peláez, MJ, Rawat, M, Yellepeddi, VK, Pasqualini, R, Arap, W, Sostman, HD, Cristini, V & Wang, Z 2020, , medRxiv : the preprint server for health sciences. https://doi.org/10.1101/2020.10.30.20215335

Innate immunity plays a key role in controlling viral load in COVID-19: mechanistic insights from a whole-body infection dynamics model
Dogra, P, Ruiz Ramírez, J, Butner, J, Peláez, MJ, Rawat, M, Yellepeddi, VK, Pasqualini, R, Arap, W, Sostman, HD, Cristini, V & Wang, Z 2020, , ACS Pharmacology & Translational Science.

Early prediction of clinical response to checkpoint inhibitor therapy in human solid cancers through mathematical modeling
Butner, J, Martin, G, Wang, Z, Corradetti, B, Ferrari, M, Esnaola, NF, Chung, C, Hong, DS, Welsh, J, Mittendorf, EA, Curley, SA, Sidman, RL, Pasqualini, R, Arap, W, Koay, EJ & Cristini, V 2020, , JCO Precision Oncology.

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

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, , Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, vol. 2020, pp. 2447-2450. 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

Modeling the whole-body dynamics of SARS-CoV-2 to investigate treatment strategies for effective management of COVID-19
Dogra, P, Sinha, K, Wang, Z & Cristini, V 2020, . Open Access Government. <https://www.openaccessgovernment.org/body-dynamics-of-sars-cov-2-treatment-of-covid-19/86929/>

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

Graph theory in the study of Alzheimer’s disease progression
Pelaez, M, Dogra, P, Wang, Z & Cristini, V 2020, . Open Access Government. <https://www.openaccessgovernment.org/graph-theory-in-the-study-of-alzheimers-disease-progression/83621/>

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