Machine Learning

Decoding Alzheimer's: Using Algorithms To Predict Cognitive Decline
An invited podcast discussing algorithmic approaches to predicting cognitive decline.
Jan 1, 2026 Podcast
Decoding Alzheimer's: Using Algorithms To Predict Cognitive Decline
Machine Learning Solutions for Healthcare Problem
Invited lecture on Machine Learning in Healthcare at Iowa State University.
Jan 1, 2026 Iowa State University
Machine Learning Solutions for Healthcare Problem
Decoding Alzheimer's: Using Algorithms to Predict Cognitive Decline
🎙️ Featured on the ISTAART Voices podcast — Dr. Auriel Willette (Rutgers University) and I discuss how machine learning algorithms can be leveraged to predict cognitive decline in Alzheimer’s disease, bridging data science and neurodegenerative research.
Feb 5, 2025 1 min read Podcast, Research
Decoding Alzheimer's: Using Algorithms to Predict Cognitive Decline
Decoding cognitive aging: how white matter tracts and demographics distinguish potential Super-Agers
A Tempered Fractional Stable Noise Perturbed Gradient Descent Optimization Algorithm
Conference presentation at INFORMS 2024 on a novel gradient descent optimization algorithm.
Oct 1, 2024
A Tempered Fractional Stable Noise Perturbed Gradient Descent Optimization Algorithm
Identification of Cognitive Decliners using resting-state functional MRI
Conference presentation at INFORMS 2024 on predicting cognitive decline using rsfMRI.
Oct 1, 2024
Identification of Cognitive Decliners using resting-state functional MRI
A machine learning approach for potential Super-Agers identification using neuronal functional connectivity networks
Cognitive classification using MRI and blood biomarkers
Cognitive classification using MRI and blood biomarkers
Cognitive Classification using MRI and Blood Biomarkers
Conference presentation at IISE 2024 on classifying cognitive groups using multimodal data.
May 1, 2024
Cognitive Classification using MRI and Blood Biomarkers
A classification algorithm based on dynamic ensemble selection to predict mutational patterns of the envelope protein in HIV-infected patients