Summary
Wenjing Su is an Energy Optimization Engineer with a PhD in Energy Systems Engineering and eight years of hands-on experience applying operations research, machine learning, and stochastic optimization to power and coupled energy systems. She has led multidisciplinary research at Penn State and CMU on resilience, stochastic planning, and life-cycle impacts of energy storage, and transitioned those methods into production-grade algorithms during a Tesla internship. Currently at Ascend Analytics in the Atlanta area, she focuses on practical optimization for market-facing energy assets and infrastructure risk assessment. Her work uniquely blends rigorous academic modeling with deployed forecasting and bidding systems that account for uncertainty, having collaborated with DOE labs, economists, and geoscientists. Known for translating complex stochastic models into usable tools, she brings both deep theory and production experience to decarbonization and grid reliability challenges.
8 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Energy System Engineering, Doctor of Philosophy - PhD, Energy System Engineering at Penn State University
Exchange program funded by China Scholarship Council, Chemical Engineering, 3.75/4.0, Exchange program funded by China Scholarship Council, Chemical Engineering, 3.75/4.0 at Illinois Institute of Technology
Bachelor of Science - BS, Energy Engineering, 88.5/100, Bachelor of Science - BS, Energy Engineering, 88.5/100 at North China Electric Power University
Master of Science - MS, Energy Science Technology & Policy with Engineering and Public Policy Concentration, Master of Science - MS, Energy Science Technology & Policy with Engineering and Public Policy Concentration at Carnegie Mellon University
English, Chinese