Bio

Sam Schwartz is a PhD student in the Computing and Data Understanding at eXtreme Scale (CDUX) Lab in the Department of Computer and Information Science at the University of Oregon. Sam is advised by Dr. Hank Childs.

Sam's research interests include applying machine learning techniques to graphs, meshes, and scientific visualization. Applications of large scale data structuring and visualization range from ecological species modeling, fluid dynamics, medical imaging, and more.

Educational Background

• PhD Student, Computer Science, University of Oregon, 2019 - Present
• Advisor: Dr. Hank Childs
• Master of Science, Mathematics, Utah State University, 2017 - 2019
• Thesis: Machine Learning Techniques as Applied to Discrete and Combinatorial Structures
• Advisor: Dr. David E. Brown
• Bachelor of Science, Dual Major in Computer Science and Mathematics, Utah State University, 2013 - 2016
• Two minors in Spanish and Organizational Communication
• Graduated Cum Laude

Links of Interest

• GitHub: @samuel-schwartz
• GitLab: @samuel-schwartz
• LinkedIn: @samuel-d-schwartz