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Nutrient transportation inside GI tract adsa




2: Mechanical Engineering

Faculty Supervisor:

Giovanni Traverso

Faculty email:


Apply by:

Sep. 30


Please send you resume/CV to Neil Jia, zixunjia@mit.edu and Dr. Traverso, cgt20@mit.edu

Project Description

The fluid mechanics and nutrient transportation inside the gastrointestinal(GI) tract have critical applications on pharmacokinetics/pharmacodynamics, weight control etc. However, our understanding of this area is still at its infancy. The project is aiming to build the fluidic-mechanical simulation platform for digestion inside the GI tract. The state of the art study is using simplified models of GI tract and digesta, thus it is unable to precisely predict in vivo behavior of medications and food. A solid simulation platform will greatly facilitate the developments of new oral drugs and provide novel solutions of obesity. The study requires using 3D models of human/large animal gastrointestinal tract and ANSYS based fluidic-mechanical simulation. We are seeking a student interested with research on fluidic mechanics and medical application. More specifically, this semester we want to implement a breakage/dissolving model of digested food and study the nutrient profile inside GI. The student will use medical scanning data from MGH and help build the GI tract model. The student is expected to work closely with a graduate research assistant and discuss with physicians from MGH upon necessary.


PRE-REQUISITES Knowledge of fluidic mechanics. Basic experience with C language programming. Highly motivated, responsible, creative, critical thinking, and organized REQUIREMENTS At least 10 hours per week will be dedicated to project work, weekly meeting/tutoring between graduate research assistant/UROP student is committed. The student can take the position for credits or request funding from departmental Experiential Learning Opportunities (ELOs). Course 2 (mechanical engineering), course 6 (electrical engineering and computer science), course 10 (chemical engineering) and course 20 (biological engineering) student is preferred though not restricted to this background. This project is planning to have a student work remotely, but on-campus working will be a big advantage.