Mohammad Kohandel, University of Waterloo

Research

Cellular Heterogeneity Drug Combination Drug Resistance Mathematical Modeling Signaling Pathways Triple Negative Breast Cancer

Latest papers

A Practical Tutorial on Physics-Informed Networks for Pharmacometrics and Quantitative Systems Pharmacology.
CPT: pharmacometrics & systems pharmacology · 2026 · senior author
Simultaneous parameter and function discovery in differential equations using physics-informed neural networks.
Mathematical biosciences · 2026 · senior author
Integrating Mechanistic Modeling and Machine Learning to Study CD4+/CD8+ CAR-T Cell Dynamics with Tumor Antigen Regulation.
Bulletin of mathematical biology · 2026 · senior author

All 76 publications

Latest funding

Transforming Non-Invasive Cancer Therapy with AI-Enhanced Imaging for Precise Treatment Guidance
SSHRC · 2024 · Co-investigator
$125,000
Integrative mathematical, computational, and experimental approach to study biological systems
NSERC · 2021 · Principal investigator
$128,000
Theoretical, experimental, and preclinical studies of heterogeneity-driven adaptive resistance to chemotherapy: Implications for multimodal targeted therapeutics
CIHR · 2018 · Nominated PI
$734,400

All 9 grants and awards

76 publications.

01

A Practical Tutorial on Physics-Informed Networks for Pharmacometrics and Quantitative Systems Pharmacology.

Ahmadi Daryakenari N, Kohandel M

CPT: pharmacometrics & systems pharmacology2026Senior author

DOI: 10.1002/psp4.70343 PMID: 42773537

02

Simultaneous parameter and function discovery in differential equations using physics-informed neural networks.

Manor S, Kohandel M

Mathematical biosciences2026Senior author

DOI: 10.1016/j.mbs.2026.109745 PMID: 42297183

03

Integrating Mechanistic Modeling and Machine Learning to Study CD4+/CD8+ CAR-T Cell Dynamics with Tumor Antigen Regulation.

Varakunan S, Stadt M, Kohandel M

Bulletin of mathematical biology2026Senior author

DOI: 10.1007/s11538-026-01633-3 PMID: 41880084

04

Multiphysics modelling enhanced by imaging and artificial intelligence for personalised cancer nanomedicine: Foundations for clinical digital twins.

Moradi Kashkooli F, Bhandari A, Gu B, Kolios MC, Kohandel M, Zhan W

Journal of controlled release : official journal of the Controlled Release Society2025

DOI: 10.1016/j.jconrel.2025.114138 PMID: 40834923

05

Devising a novel numerical tool to predict the physical occlusion site of circulating tumor cells traveling in an arbitrary microvasculature.

Motamed PK, Kohandel M, Poudineh M, Maftoon N

Computers in biology and medicine2025

DOI: 10.1016/j.compbiomed.2025.110933 PMID: 40815999

06

Investigating glucose-lactate metabolism in glioblastoma multiforme via universal physics-informed neural networks.

Vandvajdi S, Mao Y, Poudineh M, Kohandel M

Mathematical biosciences and engineering : MBE2025Senior author

DOI: 10.3934/mbe.2025091 PMID: 40899167

07

Learning Chemotherapy Drug Action via Universal Physics-Informed Neural Networks.

Podina L, Ghodsi A, Kohandel M

Pharmaceutical research2025Senior author

DOI: 10.1007/s11095-025-03858-8 PMID: 40244511

08

Dilated SE-DenseNet for brain tumor MRI classification.

Mao Y, Kim J, Podina L, Kohandel M

Scientific reports2025Senior author

DOI: 10.1038/s41598-025-86752-y PMID: 39875423

09

Sex-Related Differences in the Immune System Drive Differential Responses to Anti-PD-1 Immunotherapy.

Cotra S, Kohandel M, Przedborski M

Biomolecules2024

DOI: 10.3390/biom14121513 PMID: 39766221

10

Enhancing localized chemotherapy with anti-angiogenesis and nanomedicine synergy for improved tumor penetration in well-vascularized tumors.

Souri M, Elahi S, Moradi Kashkooli F, Kohandel M, Soltani M

NPJ systems biology and applications2024

DOI: 10.1038/s41540-024-00467-w PMID: 39567549

Transforming Non-Invasive Cancer Therapy with AI-Enhanced Imaging for Precise Treatment Guidance

Co-investigatorSSHRC2024New Frontiers in Research Fund - Exploration

Principal investigators: KWON, HYOCK JU

$125,000

Integrative mathematical, computational, and experimental approach to study biological systems

Principal investigatorNSERC2021Discovery Grants Program - Individual

Principal investigators: Kohandel, Mohammad

$128,000

Theoretical, experimental, and preclinical studies of heterogeneity-driven adaptive resistance to chemotherapy: Implications for multimodal targeted therapeutics

Nominated PICIHR2018Project Grant

Principal investigators: Kohandel, Mohammad; Goldman, Aaron

Keywords: Cellular Heterogeneity; Drug Combination; Drug Resistance; Mathematical Modeling; Signaling Pathways; Triple Negative Breast Cancer

$734,400

Cell sorter for university facility

Co-investigatorNSERC2014Research Tools and Instruments - Category 1 (<$150,000)

Principal investigators: Dixon, Brian

$150,000

Multiscale modeling of biological systems: An integrative approach

Principal investigatorNSERC2014Discovery Grants Program - Individual

Principal investigators: Kohandel, Mohammad

$205,000

Effective estimation of second cancer risks and resultant possible improvements of treatment protocols

Co-investigatorNSERC2011Collaborative Health Research Projects

Principal investigators: Sivaloganathan, Sivabal

$234,410

Effective estimation of second cancer risks and resultant possible improvements of treatment protocols

Co-investigatorCIHR2010Collaborative Health Research Projects (NSERC partnered)

Principal investigators: Sivaloganathan, Sivabal

Keywords: Oncology

$234,409

Dynamics of multi-modal anti-angiogenic, anti-vascular, and cytotoxic therapies: Potential for significant

Principal investigatorNSERC2007Collaborative Health Research Projects

Principal investigators: Kohandel, Mohammad

$214,458

Mathematical medicine: modeling cancer and its treatments

Principal investigatorNSERC2007Discovery Grants Program - Individual

Principal investigators: Kohandel, Mohammad

$90,000

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

Frequent collaborators

Surgery
Electrical and Computer Engineering
Neurosciences and Mental Health
School of Pharmacy
Other

Co-authors at University of Waterloo, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.

Mahla Poudineh

Electrical and Computer Engineering

3 shared papers, latest 2025

Sivabal Sivaloganathan

Neurosciences and Mental Health

3 shared papers, latest 2017

Marianna Foldvari

School of Pharmacy

2 shared papers, latest 2019

Sunit Das

Surgery

1 shared papers, latest 2023

Write to this professor

A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.

Applying for

Paper to mentionMention their NSERC grant from 2021

Subject: Prospective PhD student: Cellular Heterogeneity Dear Professor Kohandel, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "A Practical Tutorial on Physics-Informed Networks for Pharmacometrics and Quantitative Systems Pharmacology." (2026), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your NSERC-funded project "Integrative mathematical, computational, and experimental approach to study biological systems" (2021), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]

Mohammad Kohandel

Research

Latest papers

Latest funding

A Practical Tutorial on Physics-Informed Networks for Pharmacometrics and Quantitative Systems Pharmacology.

Simultaneous parameter and function discovery in differential equations using physics-informed neural networks.

Integrating Mechanistic Modeling and Machine Learning to Study CD4+/CD8+ CAR-T Cell Dynamics with Tumor Antigen Regulation.

Multiphysics modelling enhanced by imaging and artificial intelligence for personalised cancer nanomedicine: Foundations for clinical digital twins.

Devising a novel numerical tool to predict the physical occlusion site of circulating tumor cells traveling in an arbitrary microvasculature.

Investigating glucose-lactate metabolism in glioblastoma multiforme via universal physics-informed neural networks.

Learning Chemotherapy Drug Action via Universal Physics-Informed Neural Networks.

Dilated SE-DenseNet for brain tumor MRI classification.

Sex-Related Differences in the Immune System Drive Differential Responses to Anti-PD-1 Immunotherapy.

Enhancing localized chemotherapy with anti-angiogenesis and nanomedicine synergy for improved tumor penetration in well-vascularized tumors.

Transforming Non-Invasive Cancer Therapy with AI-Enhanced Imaging for Precise Treatment Guidance

Integrative mathematical, computational, and experimental approach to study biological systems

Theoretical, experimental, and preclinical studies of heterogeneity-driven adaptive resistance to chemotherapy: Implications for multimodal targeted therapeutics

Cell sorter for university facility

Multiscale modeling of biological systems: An integrative approach

Effective estimation of second cancer risks and resultant possible improvements of treatment protocols

Effective estimation of second cancer risks and resultant possible improvements of treatment protocols

Dynamics of multi-modal anti-angiogenic, anti-vascular, and cytotoxic therapies: Potential for significant

Mathematical medicine: modeling cancer and its treatments

Frequent collaborators

Mahla Poudineh

Sivabal Sivaloganathan

Marianna Foldvari

Steven Chan

Sheila Singh

Sunit Das