Faculty

Institution

Unit

Venue

Harsh Jain

University of Minnesota Duluth

Affiliations

Department Of Mathematics And Applied Statistics

Swenson College of Science and Engineering

Department Of Mathematics And Statistics

School Of Statistics

University of Minnesota Duluth

NoneHarsh Jain is currently serving as a Mathematics And Applied Statistics faculty at University of Minnesota Duluth.

Honors

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Experiences

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Education

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Harsh Jain

University of Minnesota Duluth

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oncology systems biology tumor biology cancer research vascular biology mathematical biology prostate cancer cancer treatment molecular biology cancer biology urology computational biology mathematical bioscience theoretical biology cancer discovery biomedical modeling radiation oncology gliomas medicinal research oncogenes angiogenesis quantitative biology brain tumor research cancer care cancer growth stem cell research gynecologic oncology liver physiology biophysical modeling tumor targeting therapeutic efficacy cancer management hepatocellular carcinoma cell proliferation tumor innervation tumor heterogeneity mathematical modeling ovarian carcinomas prostate cancer response smore pars molecular cell biology molecular cancer cerebral blood flow neuroradiology bone research cell lineage cell growth cancer genetics intracranial pressure skeletal muscle skull base discrete dynamical systems continuum modeling therapeutic model extracellular microvesicles apoptosis endocytic pathway cell physiology cellular biology mathematical modelling intercellular communication treatment effects therapy resistance computational models ablation therapy prostate cancer progression intratumoral agiogenesis biomechanical model brain tissue tumor-induced intracranial pressure endothelial cell apoptosis microvessel density significant decrease vegf-targeted therapies cellular cross-talk hybrid model

Notable Scholarly Works

Notable Federal Grants

Collaborators

Delaying Cancer Progression by Integrating Toxicity Constraints in a Model of Adaptive Therapy. npj Systems Biology and Applications (2026)

cancer discoverysystems biologybiological modelsoncology

Advances in Surrogate Modeling for Biological Agent-Based Simulations: Trends, Challenges, and Future Prospects. Journal of Mathematical Biology (2025)

computational biologytheoretical biologymathematical biosciencesystems biologybiological modelsbiomedical modelingmathematical biologymodeling and simulation

CORRECTION: An Efficient and Flexible Framework for Inferring Global Sensitivity of Agent-Based Model Parameters. PLoS Computational Biology (2025)

bioinformaticscomputational biologytheoretical biologysystems biologybiological models

Evaluating Psa Dynamics for Predicting Androgen Deprivation Failure With a Patient Specific Prostate Cancer Model. npj Systems Biology and Applications (2025)

urologyoncologysystems biologyprostatic diseaseprostate cancerbiomedical informatics

From Sparse Data to Smart Decisions: Region-Specific Policy Evaluation via Simulation. medRxiv (2025)

data-driven decision-makingdecision theorypolicy analysispolicy modelingpublic policydecision sciencesequential decision making

Integrating Machine Learning Into the in Silico Clinical Trial Pipeline. Mathematical Biosciences (2025)

clinical trialsmachine learning toolshealth informaticscomputational intelligencemedicineclinical decision support systemsmachine learningdata sciencepredictive analyticsintelligent diagnosticsmachine learning researchbiomedical data scienceai healthcarebiomedical informatics

Who’s in and Who’s out: Leveraging Homogeneous Preclinical Data to Extrapolate Tumour Growth Outcomes Across Heterogeneous Populations. Journal of The Royal Society Interface (2025)

biostatisticscancer researchoncologytumor heterogeneitycancer discoveryprognosis

Relating Prostate Specific-Antigen Leakage With Vascular Tumor Growth in a Mathematical Model of Prostate Cancer Response to Androgen Deprivation. (2024)

urologyoncologyprostatic diseasetumor biologycancer cellsprostate cancer

Connecting Agent-Based Models With High-Dimensional Parameter Spaces to Multidimensional Data Using Smore Pars: A Surrogate Modeling Approach. Bulletin of Mathematical Biology (2023)

Daniel R. BergmanKerri-Ann NortonHarsh Vardhan JainTrachette Jackson

high-dimensional parameter spacesmathematical biologysmore pars

Data From Quantification of Endothelial Cell–Targeted Anti–Bcl-2 Therapy and Its Suppression of Tumor Growth and Vascularization. (2023)

Harsh Vardhan JainJacques Eduardo NörTrachette Levon Jackson

cancer cellscell biologycancer biologytumor growthbiomolecular engineeringtumor biologyvascular biologytumor suppressorscancer treatmentcellular therapyimmunotherapycell proliferationangiogenesiscancer immunotherapyoncogenestumor microenvironmentmedicinal researchbiomedical engineeringtherapeutic targets

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Harsh Jain

University of Minnesota Duluth

Affiliations

Department Of Mathematics And Applied Statistics

Swenson College of Science and Engineering

Department Of Mathematics And Statistics

School Of Statistics

University of Minnesota Duluth

NoneHarsh Jain is currently serving as a Mathematics And Applied Statistics faculty at University of Minnesota Duluth.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Harsh Jain

University of Minnesota Duluth

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Delaying Cancer Progression by Integrating Toxicity Constraints in a Model of Adaptive Therapy. npj Systems Biology and Applications (2026)

cancer discoverysystems biologybiological modelsoncology

Advances in Surrogate Modeling for Biological Agent-Based Simulations: Trends, Challenges, and Future Prospects. Journal of Mathematical Biology (2025)

computational biologytheoretical biologymathematical biosciencesystems biologybiological modelsbiomedical modelingmathematical biologymodeling and simulation

CORRECTION: An Efficient and Flexible Framework for Inferring Global Sensitivity of Agent-Based Model Parameters. PLoS Computational Biology (2025)

bioinformaticscomputational biologytheoretical biologysystems biologybiological models

Evaluating Psa Dynamics for Predicting Androgen Deprivation Failure With a Patient Specific Prostate Cancer Model. npj Systems Biology and Applications (2025)

urologyoncologysystems biologyprostatic diseaseprostate cancerbiomedical informatics

From Sparse Data to Smart Decisions: Region-Specific Policy Evaluation via Simulation. medRxiv (2025)

data-driven decision-makingdecision theorypolicy analysispolicy modelingpublic policydecision sciencesequential decision making

Integrating Machine Learning Into the in Silico Clinical Trial Pipeline. Mathematical Biosciences (2025)

Who’s in and Who’s out: Leveraging Homogeneous Preclinical Data to Extrapolate Tumour Growth Outcomes Across Heterogeneous Populations. Journal of The Royal Society Interface (2025)

biostatisticscancer researchoncologytumor heterogeneitycancer discoveryprognosis

Relating Prostate Specific-Antigen Leakage With Vascular Tumor Growth in a Mathematical Model of Prostate Cancer Response to Androgen Deprivation. (2024)

urologyoncologyprostatic diseasetumor biologycancer cellsprostate cancer

Connecting Agent-Based Models With High-Dimensional Parameter Spaces to Multidimensional Data Using Smore Pars: A Surrogate Modeling Approach. Bulletin of Mathematical Biology (2023)

Daniel R. BergmanKerri-Ann NortonHarsh Vardhan JainTrachette Jackson

high-dimensional parameter spacesmathematical biologysmore pars

Data From Quantification of Endothelial Cell–Targeted Anti–Bcl-2 Therapy and Its Suppression of Tumor Growth and Vascularization. (2023)

Harsh Vardhan JainJacques Eduardo NörTrachette Levon Jackson

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