Faculty Mentor: Amir Arzani
Title: Assistant Professor
College: Engineering
School / Department: Mechanical Engineering
Email: Amir.Arzani@sci.utah.edu
Project description
The impact of digital twins is rapidly increasing in the medical field with the rise of interest in personalized medicine. This project will look at creating predictive models for cancer that can inform the digital portion of the twin. The novel aspect is the development of multiscale models, where cell behaviors are explored starting from networks within cancer cells, to the interactions between cells. The goal is to validate theoretical models of tumor growth and response on biological data.
Keywords: Computational, Biomedical Engineering, Modeling and Simulation, Cancer
Student Role: The interested student will work on fitting mathematical models to biological data. This will include data preparation and analysis, coding for scientific computing (numerical simulations, optimization), validation of models against data. The student will have the opportunity to work with proteomic/genomic data from in vitro cell cultures. Potential for conference presentations and scientific writing. This opportunity will help build skills for an undergraduate interested in computational research at the graduate level.
Student Benefits: Exposure to computational techniques used in simulations of cancer. Experience with scientific method and hypothesis development. Dissemination of findings (internal and potentially external).
Project Duration: ~10 hours a week, can accommodate student schedule.
Opportunity Type: Research Assistant
Opportunity Location Type: In Person
Is this a paid opportunity: ToBeDetermined
Paid Description:
Volunteer, Prepare a UROP proposal
Minimum Requirements: Coding basics (MATLAB or Python), basic biology knowledge, exposure to differential equations
How To Apply: Contact Chase Christenson, chase.christenson@sci.utah.edu