Resume / CV

Resume

Education

• Ph.D in Applied Mathematics, University of Arizona, 2026 (expected)
  • National Science Foundation Graduate Research Fellow
• M.S. in Applied Mathematics, University of Arizona, 2023
• B.A. in Mathematics, Lycoming College, 2020
  • Minors: Computer Science, Computational Science, & Sociology

Recent Work experience

• Graduate Research Assistant, University of Arizona (Aug 2021 - Present)
  • Accelerating sustainable materials design by utilizing machine learning, computer vision, and natural language processing.
• Graduate Research Intern, Oak Ridge National Laboratory (May 2025 - Present)
  • Machine-learning-based discovery of high-performance permanent magnet materials.
• Graduate Fellowship Writing Consultant, University of Arizona (June 2024 - July 2025)
  • Mentoring peers and editing fellowship application essays.
• Graduate Teaching Assistant, University of Arizona (Aug 2021 - Aug 2023)
  • Taught Math 107, Math 112, and Math 186J.
• Computational Science Intern, National Renewable Energy Laboratory (Jan 2021 - April 2021)
  • Migrated and optimized the existing modeling framework to improve lithium-ion battery design.

Skills

• Applied Mathematics
  • Machine Learning
  • Monte Carlo Methods
  • Partial Differential Equations
  • Data Analysis
• Materials Science
  • Density Functional Theory (VASP)
  • Multi-scale modeling
  • Structure-property linkages
• Computer Science
  • Programming: Advanced - Python (TensorFlow/Keras, PyTorch, Scikit-learn, OpenCV), Intermediate - R, C++, Matlab, Java, Javascript
  • Database Management Systems: MySQL

Peer-Reviewed Journal Articles

• S.E. Whitman, G. Hu, H. C. Taylor, R. B. Wicker, M.I. Latypov, Automated segmentation and chord length distribution of melt pools in complex 3D printed metal artifacts Integrating Materials and Manufacturing Innovation (2023).
• S.E. Whitman, M.I. Latypov, SR-CLD: spatially-resolved chord length distributions for statistical description, visualization, and alignment of non-uniform microstructures Submitted to Materials Characterization (2024).
• S.E. Whitman, M.I. Latypov, Machine learning of microstructure–property relationships in materials with robust features from foundational vision transformers Acta Materialia (2025).

Peer-Reviewed Conference Articles

• S.E. Whitman, G. Hu, M.I. Latypov, Learning microstructure–property relationships in materials with robust features from vision transformers Computer Vision for Materials Science - CVPR Workshop (2024).

Conferences

• The 3rd World Congress on Artificial Intelligence in Materials and Manufacturing (2025)
• Computer Vision and Pattern Recognition (2024)
• APS Division of Fluid Dynamics (2019)
• APS Division of Fluid Dynamics (2018)

Awards

• Herbert E. Carter Travel Grant Recipient (2025)
• CVPR Travel Grant Recipient (2024)
• National Science Foundation Graduate Research Fellow (2023)

Outreach

• Secretary, Society for Industrial and Applied Mathematics (2024 - 2026)
• Brown Bag Student Colloquium Coordinator, Applied Mathematics Graduate Program (2023 - 2024)
• Peer Mentor, Applied Mathematics Graduate Program (2023 - 2024)