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Karen Cornejo

Person: Graduate Student

My name is Karen Cornejo and I am a graduate student in the Saha lab. I graduated from UC Davis where I received a B.S in Neurobiology and a B.A in Spanish in 2020. As an undergraduate, I was part of programs like UC LEADS where I had the opportunity to conduct research and apply to graduate school...

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My research interests lie in the field of mathematical biology and machine learning for biomedical imaging. Mathematical biology uses mathematics and statistical techniques to explain and predict biological phenomena. My mathematical interests include formulation, analysis, parameter estimation, and...

A tutorial review of mathematical techniques for quantifying tumor heterogeneity

Publication: Journal Article

Everett, Rebecca, Kevin B Flores, Nick Henscheid, John Lagergren, Kamila Larripa, Ding Li, John T Nardini, Phuong TT Nguyen, Bruce Pitman, and Erica M Rutter. 2020. “A tutorial review of mathematical techniques for quantifying tumor heterogeneity”. Mathematical Biosciences and Engineering 17 (4).

Learning equations from biological data with limited time samples

Publication: Journal Article

Nardini, John T, John H Lagergren, Andrea Hawkins-Daarud, Lee Curtin, Bethan Morris, Erica M Rutter, Kristin R Swanson, and Kevin B Flores. 2020. “Learning equations from biological data with limited time samples”. Bulletin of Mathematical Biology 82 (9): 1-33.

Rutter, Erica M, Christopher L Langdale, James A Hokanson, Franz Hamilton, Hien Tran, Warren M Grill, and Kevin B Flores. 2018. “Detection of bladder contractions from the activity of the external urethral sphincter in rats using sparse regression”. IEEE Transactions on Neural Systems and Rehabilitation Engineering 26 (8): 1636-44.

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Karen Cornejo

Research

A tutorial review of mathematical techniques for quantifying tumor heterogeneity

Learning equations from biological data with limited time samples

Automated object tracing for biomedical image segmentation using a deep convolutional neural network

Traveling waves of a go-or-grow model of glioma growth

Detection of bladder contractions from the activity of the external urethral sphincter in rats using sparse regression

Effects of non-physiological blood pressure artefacts on cerebral autoregulation

Continuous structured population models for Daphnia magna

A data-motivated density-dependent diffusion model of in vitro glioblastoma growth