Research Projects:

 

"A Genetic Algorithm based Manifold Learning Feature Selection Approach Using Bladder Cancer Patient Data"

topic: use machine learning methods to test different methods of feature selection, under the guidance of Dr. Kayode Olumoyin

High-School Internship Program @IMO (HIP-IMO) final presentations, July 28th 2023, Moffitt-IMO Research Day for the High School Intership Program (HIP-IMO). Risheet presented: "A Genetic Algorithm based Manifold Learning Feature Selection Approach Using Bladder Cancer Patient Data" in collaboration with Dr. Shari Pilon-Thomas and Dr. Mike Poch labs.

High-School Internship Program @IMO (HIP-IMO) research project midterm presentations, Moffitt July 7th 2023, Risheet gave a presentation "A Genetic Algorithm based Manifold Learning Feature Selection Approach Using Bladder Cancer Patient Data Spatial statistical analysis of CD8+ T cell"