About Me

I’m Momina L. Ali, passionate about leveraging data science, deep learning, and immersive technologies to advance innovation in medical imaging, and healthcare training.

My research focuses on the intersection of computational methods, human-centered computing, and healthcare innovation, where I design intelligent, data-driven systems that improve decision-making, enhance learning, and support clinical and educational outcomes.

I specialize in applying deep learning, computer vision, and immersive technologies (VR/AR) to tackle complex problems in medical imaging analysis and STEM education. My portfolio includes projects ranging from disease detection and tissue analysis using deep learning to virtual reality applications that allow users to interact with lab or clinical environments through natural hand gestures, creating intuitive and immersive experiences.

Current Research Interests

• Medical Imaging & Computational Health: applying deep learning and computer vision to detect, segment, and analyze biomedical images, including histopathology and MRI data
• Immersive Technologies for Education and Training: using VR/AR and human-computer interaction techniques to create interactive, high-fidelity learning environments
• Machine Learning for Decision Support: designing AI-driven models to assist in clinical, educational, and research decision-making
• Multimodal Data Integration: combining imaging, interaction, and behavioral data to develop predictive and interpretable models for healthcare and educational applications

Beyond Research

I am committed to collaboration, interdisciplinary research, and mentorship. I actively seek opportunities to engage with researchers, educators, and healthcare professionals to co-create impactful solutions. Whether it’s developing intelligent medical imaging tools, immersive educational platforms, or mentoring students in computational research, I strive to contribute to communities that push the boundaries of technology, healthcare, and learning.