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Welcome!
Welcome!
I’m Brighton Nuwagira, an Assistant Professor of Mathematics at Houston Christian University. I earned my Ph.D. in Mathematics in August 2026 from the University of Texas at Dallas.
My research lies at the intersection of applied mathematics, artificial intelligence, machine learning, medical imaging, and topological data analysis. I develop mathematically informed computational methods to advance AI-driven healthcare solutions, with particular interests in medical image analysis, robust machine learning, and the integration of topological insights into deep learning. My research has been presented and published at international venues, including ICCV, ML4H, and MICCAI.
Beyond research and teaching, I am a co-founder of the Computational Intelligence Group (CIG), a global research network connecting students, early-career researchers, and established scientists through interdisciplinary collaboration, research discussions, expert talks, and mentorship. Our mission is to broaden participation in AI research and foster innovative solutions to real-world challenges.
At Houston Christian University, I am committed to excellence in mathematics education, undergraduate advising, student mentorship, and academic service. I am passionate about bridging rigorous mathematical theory with practical applications while creating opportunities for students and emerging researchers to thrive.
I welcome opportunities for research collaboration, interdisciplinary partnerships, and student mentorship.
RESEARCH INTERESTS
RESEARCH INTERESTS
My research is situated at the intersection of Machine Learning, Topological Data Analysis, and Medical Imaging, where I develop data-efficient and interpretable models for critical healthcare applications. I focus on integrating topological techniques such as persistent homology and multiparameter persistence, into deep learning pipelines to improve generalization and robustness, particularly in low-data and high-dimensional biomedical settings. Beyond this core focus, I have a broader interest in foundational problems across Machine Learning, Deep Learning, and Computer Vision, including the design of architectures that are both explainable and performance-optimized. I am also deeply intrigued by the transformative potential of Generative AI and Large Language Models (LLMs), especially their emerging role in multimodal learning and automated biomedical knowledge synthesis. My goal is to unify these methodologies into scalable, principled AI systems that drive breakthroughs in disease diagnosis, clinical decision support, and human-centric AI.
OFFICE ADDRESS
OFFICE ADDRESS
Department of Mathematics
College of Science and Engineering
Houston Christian University
Atwood 1, Room 116
7502 Fondren Road
Houston, TX 77074, USA
EMAIL
Brighton.Nuwagira@utdallas.edu nuwagirabrighton2016@gmail.com
bnuwagira@hc.edu
ONLINE PROFILE
ONLINE PROFILE
Curriculum Vitae/Resume
Curriculum Vitae/Resume
For a detailed overview of my academic background, research contributions, teaching experience, and professional affiliations, please refer to my CV
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