Bamidele Ajisogun, PhD
Machine Learning Researcher
Welcome to my website! I'm Bamidele Ajisogun, a Ph.D. researcher in the intelligent systems program at the University of Pittsburgh. I focus on Machine Learning, Deep Learning, Generative AI, Neuro Imaging, Human-Computer Interaction, and Natural Language Processing. My research interests include developing innovative approaches to analyzing and interpreting complex data using artificial intelligence and machine learning. Join me on a journey to use data and tech to advance healthcare. Explore my work, and let's connect for collaborative discussions. Thanks for visiting!
Research Interests
Welcome to my research page! I specialize in neuroaging, image segmentation, and the cutting-edge applications of deep learning and machine learning. My work focuses on developing innovative methods to analyze and interpret complex data through artificial intelligence. I am committed to leveraging technology to enhance product outcomes, so I invite you to explore my research and connect with me for collaboration opportunities. Thank you for stopping by!
Publications
B. Ajisogun "Exploring User Experience and Preference with Meditation App". University of Pittsburgh (2023)
B. Ajisogun "Discovered potential biomarkers for Intervertebral Disc Degeneration (IDD) by utilizing a range of machine learning models such as Logistic Regression, Support Vector Machines, Random Forest, Naïve Bayes, and Rule Learner, University of Pittsburgh (2022)
B. Ajisogun "Developed an innovative recommendation system by integrating Neural Collaborative Filtering (NCF) and Variational Autoencoders (VAEs), combining collaborative filtering and deep learning techniques, University of Pittsburgh (2023)
B. Ajisogun "Identified risk factors for heart disease through Natural Language Processing (NLP) analysis of clinical notes from 2014 i2b2/UTHealth Shared Task 2 electronic health record (EHR) data". University of Pittsburgh (2022)