Hamid Ghaderi

Background

About Hamid Ghaderi

I hold a Ph.D. in Systems and Industrial Engineering from the University of Arizona and have built a strong background in machine learning, deep learning, self-supervised learning, and computer vision. I’m proficient in Python, TensorFlow, and PyTorch, and I have a keen understanding of data preprocessing and visualization techniques. One of my key accomplishments is developing SLAC-Time—a novel self-supervised learning approach for clustering multivariate time-series data with missing values. I've applied this method to clinical data to identify traumatic brain injury patient phenotypes and physiologic states, showcasing how technical innovation can drive impactful, real-world solutions. I’m passionate about using my expertise to solve complex challenges and make a meaningful difference in the field.