Cancer Algorithm Development
(2024)
Algorithmic Deconstruction of Somatic Copy Number Alterations for Therapeutic Target Discovery in Cancer
Ellie Rahm Kim
My research interest focuses on integrating computing/engineering methodologies to solve problems in biomedical sciences. I am particularly interested in developing and applying novel computational tools to understand how the complexities in the human genome contribute to diseases.
Selected Projects
Cancer Algorithm Development
Cancer 3D Genome Architecture
(2023)
Structural Disruptions of the 3D Genome Architecture in Human Brain Cancer
Cell Differentiation Modeling
(2023)
Investigating Cell Differentiation in the Brain with a Computational Model of Delta-Notch Signaling and Dynamical System Analysis
Other Projects
Neural Adaptation Dynamics
(2024)
Modeling Perceptual Bistability: Impact of Neuronal Adaptation and Noise on Alternation Dynamics
Synaptic Plasticity Algorithm
(2023)
Investigating the Efficacy of the Cascade Model of Synaptic Plasticity in a Biologically Constrained Simulation
Psychiatric Disorder
Genomic Study
(2023)
Comparative Analysis of Single Nucleotide Polymorphism (SNP) Genomic Data in Patients with Anxiety Disorder (AD) and Major Depressive Disorder (MDD)
Neural Activity Simulation
(2022)
Simulation Analysis of Neuron Firing Activity in Cerebellar Cells for Learning and Extinction Evaluation
Cancer Driver Mutations
(2022)
Computational Investigation of Single Nucleotide Driver Mutations and Tumor Evolution