معرفی
Kristen Schell is a Research Scientist in the Industrial and Systems Engineering Department at Rensselaer Polytechnic Institute, part of the School of Engineering. Her work focuses on mathematical models for energy transition, combining wind energy forecasting, microgrid design, and spatio-temporal statistical methods. She holds dual doctoral degrees in Engineering and Public Policy from Carnegie Mellon University and the University of Porto, alongside a Master's in Environmental Engineering from Johns Hopkins University and a Bachelor's in Chemical Engineering from Carnegie Mellon University.
- Education:
- PhD in Engineering and Public Policy, Carnegie Mellon University
- PhD in Faculty of Engineering, University of Porto
- MS in Environmental Engineering, Johns Hopkins University
- BS in Chemical Engineering & Engineering and Public Policy, Carnegie Mellon University
Her research interests span large-scale optimization, applied statistics, machine learning, renewable energy systems, and energy policy. She develops models informed by empirical data from utilities, weather predictions, and energy markets to address climate resilience and energy infrastructure challenges.
Dr. Schell is actively mentoring PhD students in optimization modeling, statistical methods, and machine learning applications in energy systems. Her work bridges technical and policy dimensions of sustainable energy transitions.
