Professor Erzsébet Regan, Biochemistry & Molecular Biology
Project Description
Student choice among 2 options:
1. Model the 3D dynamics of mitochondrial networks with agent-based models. The idea is to build a simulation of mitochondrial dynamics that responds to stress and predicts the transition from a healthy cell state to mitochondrial senescence. Coding skills required.
2. Generate “in silico” artificial single cell data sets from simple models of hierarchical gene regulation and compare their properties to experimentally generated single cell data.
Prerequisite Classes/Skills Required
Independent coding required, some familiarity with basic cell structure and function ideal.
Time expectations
4 hours per week for 10 weeks