Biography

Ophelia Frimpong is a PhD student whose academic journey, rooted in a passion for machine learning, optimization, and healthcare. Which has been complemented by real-world experiences that drive her commitment to the intersection of statistics and healthcare. She grew up in Ghana, West Africa where she ignited her dedication to making meaningful contributions to public health through statistical analysis. As a first generation student, her passion for leveraging statistical methodologies to support clinical research studies within the Health Care sector is her priority. She loves listening to different genres of music , she loves to cook and she loves engaging in community labor by giving back to her society. She volunteers at her church's children's department because she loves being around children and putting a smile on their faces. She is a leader and a teacher, she is the vice president for the American Mathematical Society- UTEP chapter and the General Secretary for the American Statistical Society-UTEP chapter.

Academic Status

PhD Student - 2nd

Research Area/Department

other

Major/Specialty

Computational Science with more focus in applied mathematics, data science, and scientific computing.

Degrees Earned or in Progress

Doctor of Philosophy/Computational Science/ in Progress Master's in Science/Mathematics/2024 Bachelor in Science/ Actuarial Science/2021

Academic Preparation

Machine Learning Numerical Analysis Statistical Programming Introduction to Data Mining Advance Scientific Computing Introduction to Computational Science Linear Algebra Mathematical Statistics Principles of Analysis Mathematical and Computational Modeling

Research/Publications

I worked on a group project on Mutation-selection-diffusion using SBP-SAT methods where I investigated mutation-selection-diffusion PDEs, stability, and energy conservation using SBP-SAT methods. I also Designed and implemented numerical solvers for 1D boundary value problems with Neumann conditions. I also improved efficiency of simulations for biological and physical modeling applications.

Research/Academic Interests

I have been focusing on meta-learning for medical diagnosis, machine learning techniques, and partial differential equation (PDE) modeling. For example, my current research explores enhancing interpretability in meta-learning-based medical diagnostic systems that aids in developing frameworks that balance accuracy with clinical trust.

Computational and Data Science Areas

Applied Mathematics; Artificial Intelligence and Intelligent Systems; Health Sciences; Informatics, Analytics and Information Science; Statistics and Probability

Motivation

I believe that I will be able to able to build good frameworks that can balance accuracy with clinical trust through the support and mentorship of the faculties from my background in the U.S. National Science Foundation(NSF) National Artificial Intelligence Research Resource (NAIRR) projects. This is because, this summer program will enable me to be innovative in my research of interest since this is something I really want to commit to and excel in order to support clinical research for the current and next generation.

Lightning Talk Title

AI-Driven Gated Fusion for Multimodal Medical Diagnosis

Keywords (Maximum 20 words)

Artificial Intelligence; Machine Learning; Explainable Artificial Intelligence; Multimodal;Gated fusion;Shapley Additive explanations; Medical imaging; Gradient-weighted Class Activation Mapping; Multilayer Perceptron; Convolutional-Neural-Network