Gokulnath Ganesan

Gokulnath Ganesan is a graduate student in chemical engineering, propelling forward platform technologies to improve the design and scalability of cell therapies. His work focuses on developing customized implantable devices that integrate seamlessly with host vasculature, addressing a major challenge in regenerative medicine. As a MathWorks Fellow, Gokulnath will create a MATLAB-integrated development pipeline that automates the design, simulation, and fabrication of multifunctional therapeutic devices. He will utilize Simscape, PDE Toolbox, and Image Processing and Machine Learning toolboxes to simulate design criteria, such as fluid flow profiles and nutrient gradients, and thereby guide 3D printing protocols to fabricate optimized devices. The goal of this fully integrated system is to accelerate design iteration, reduce production costs, and support spatially tailored device architectures. Gokulnath’s work could enable more effective and scalable cell therapies for a range of diseases, setting new standards in biomedical engineering.