
About
Pascal Quach is a researcher specializing in robust optimization and resilience engineering, with a focus on energy systems and critical infrastructure. His work intersects operations research, stochastic optimization, and climate adaptation.
- Research Focus: Distributionally robust optimization, microgrid design, infrastructure resilience
- Methodologies: Benders decomposition, column-and-constraint decomposition, reinforcement learning
Recent trends in his publications highlight applications of advanced optimization techniques to enhance climate resilience in infrastructure networks and improve energy system reliability under uncertainty. He actively explores causal representation learning in human motion modeling, demonstrating interdisciplinary interests.
He is affiliated with the Industrial Engineering Laboratory, where he collaborates with Yiping Fang and Anne Barros on projects addressing supply-demand uncertainty, distributed energy resources, and network scalability challenges.
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