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Welcome!
I’m Brighton Nuwagira, a PhD candidate in Mathematics at the University of Texas at Dallas. My research sits at the intersection of machine learning, medical imaging, and topology, where I develop methods that advance AI-driven healthcare solutions. I have published in leading venues such as ICCV, ML4H, and MICCA, and I actively contribute to the global AI community as a co-founder of the Computational Intelligence Group (CIG). This platform connects early-career researchers with senior scientists to expand opportunities in artificial intelligence research.
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 Mathematical Sciences F.O. 2.408 G
University of Texas at Dallas
School Address: 800 W Campbell Rd, Richardson, TX 75080, USA
EMAIL
Brighton.Nuwagira@utdallas.edu nuwagirabrighton2016@gmail.com
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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