Rachel Bennett, PhD Candidate
Industrial and Systems Engineering
University of Oklahoma
Norman, OK
I am a PhD candidate in Industrial Engineering at the University of Oklahoma, specializing in machine learning, big data analytics, and predictive modeling with a focus on healthcare and bioinformatics. My research aims to develop scalable and interpretable machine learning models to address critical challenges in precision medicine.
With a strong background in data science and analytics, I have contributed to numerous publications and presentations, showcasing innovative solutions for early prediction of medical conditions such as preeclampsia and cesarean delivery. My work is driven by a passion for leveraging high-performance computing to create trustworthy and impactful algorithms.
Explore my website to learn more about my research projects, professional experience, and academic achievements. Feel free to reach out through the contact page for collaboration opportunities or inquiries.
