Mohammadreza Nikmaneshi

Research Fellow

Mohammadreza Nikmaneshi

Research Fellow

Dr. Mohammadreza Nikmaneshi is a highly skilled researcher with expertise at the interface of computational modeling and experimental biomedical engineering. His work spans disease modeling, tumor biology, immunotherapy, and microfluidic device development, with a particular focus on understanding the tumor immune microenvironment and optimizing CAR-T cell therapies. He leverages advanced mathematical and computational approaches—including multiscale modeling, pharmacokinetic-pharmacodynamic simulations, and hybrid mechanistic-data-driven models—alongside cutting-edge experimental techniques in 3D tumor models, vasculature engineering, and immune cell trafficking. Mohammadreza’s research bridges local tumor-level phenomena with systemic immunological processes, enabling predictive models that guide experimental design and therapeutic optimization. 

Publications in Edwin Steele Labs:

https://steelelabs.mgh.harvard.edu/person_pages/359

Publications

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O'Melia MJ, Menzel L, Lei PJ, Zhou H, Contreras-Alvarado N, Rajotte JJ, Liu L, Nikmaneshi MR, Baish JW, Ubellacker JM, Boland GM, Cohen S, Munn LL, Padera TP

Overcoming impaired antigen presentation in tumor draining lymph nodes facilitates immunotherapy.
bioRxiv. 2025;:ePub - PMID: 41000874 - PMCID: PMC12458325 - DOI: 10.1101/2025.09.17.676884

Kunz LV, Bosque JJ, Nikmaneshi M, Chamseddine I, Munn LL, Schuemann J, Paganetti H, Bertolet A

AMBER: A Modular Model for Tumor Growth, Vasculature and Radiation Response.
Bull Math Biol. 2024;86(12):139 - PMID: 39460828 - PMCID: PMC12129000 - DOI: 10.1007/s11538-024-01371-4

Voutouri C, Hardin CC, Naranbhai V, Nikmaneshi MR, Khandekar MJ, Gainor JF, Munn LL, Jain RK, Stylianopoulos T

Dynamic heterogeneity in COVID-19: Insights from a mathematical model.
PLoS One. 2024;19(5):e0301780 - PMID: 38820409 - PMCID: PMC11142552 - DOI: 10.1371/journal.pone.0301780

Voutouri C, Hardin CC, Naranbhai V, Nikmaneshi MR, Khandekar MJ, Gainor JF, Stylianopoulos T, Munn LL, Jain RK

In silico clinical studies for optimal COVID-19 vaccination schedules in patients with cancer.
Cell Rep Med. 2024;5(3):101436 - PMID: 38508146 - PMCID: PMC10982978 - DOI: 10.1016/j.xcrm.2024.101436

Nikmaneshi MR, Baish JW, Zhou H, Padera TP, Munn LL

Transport Barriers Influence the Activation of Anti-Tumor Immunity: A Systems Biology Analysis.
Adv Sci (Weinh). 2023;10(36):e2304076 - PMID: 37949675 - PMCID: PMC10754116 - DOI: 10.1002/advs.202304076

Zhou H, Baish JW, O'Melia MJ, Darragh LB, Specht E, Czapla J, Lei PJ, Menzel L, Rajotte JJ, Nikmaneshi MR, Razavi MS, Heiden MGV, Ubellacker JM, Munn LL, Boland GM, Cohen S, Karam SD, Padera TP

Cancer immunotherapy responses persist after lymph node resection.
bioRxiv. 2023;:ePub - PMID: 37781599 - PMCID: PMC10541098 - DOI: 10.1101/2023.09.19.558262

Nikmaneshi MR, Jain RK, Munn LL

Computational simulations of tumor growth and treatment response: Benefits of high-frequency, low-dose drug regimens and concurrent vascular normalization.
PLoS Comput Biol. 2023;19(6):e1011131 - PMID: 37289729 - PMCID: PMC10249820 - DOI: 10.1371/journal.pcbi.1011131