Joshua Pulsipher

Joshua Pulsipher is an Assistant Professor of Chemical Engineering at the University of Waterloo, Canada. He joined in 2023 and leads a research group focused on interdisciplinary solutions at the intersection of chemical engineering, computer science, mathematics, and statistics. His work addresses challenges in sustainability, energy systems, and data-driven decision-making under uncertainty. He holds a B.Sc. from Brigham Young University and a Ph.D. from the University of Wisconsin-Madison, with postdoctoral training at Carnegie Mellon University.

Education:

• B.Sc. in Chemical Engineering, Brigham Young University (2017)
• Ph.D. in Chemical & Biological Engineering, University of Wisconsin-Madison (2022)
• Postdoctoral Research, Carnegie Mellon University (2022–2023)

Research Interests: Optimization under uncertainty, machine learning, sustainable systems, infinite-dimensional optimization, energy systems, wildfire mitigation, and software development for accessibility in research. His projects span wildfire management frameworks, resilient infrastructure, and software tools like InfiniteOpt.jl and FlexibilityAnalysis.jl.

Awards:

• Best Presentation Award, JuMP-dev 2024
• Travel Award, FOCAPO/CPC (2023)
• Plenary Speaker at AICHE Annual Meeting (2022)

Teaching: Courses include CHE 322 (Numerical Methods), CHE 341 (Process Control), and CHE 521 (Process Optimization). His philosophy emphasizes active learning and inclusivity.

Labs/Software: Develops open-source software frameworks such as InfiniteOpt.jl for infinite-dimensional optimization and SAFE-OCC for computer vision sensor reliability. Active in promoting reproducibility and software-driven research.