Sarah Mokhtar is a computational designer, architect, building scientist and researcher.

Sarah is an architect with research and professional interests at the intersection of design, computation, data and performance.

She is currently pursuing a PhD in Building Technology at Massachusetts Institute of Technology (MIT) where she focuses on transforming how we design cities and buildings by utilizing large-scale modeling and simulation, computational and data-driven methods to address critical challenges like urban densification and climate change. Her focus is on targeting human-centric and multi-scale spatial interventions that prioritize livability and comfort, while adopting methods that are scalable, data-driven, and globally adaptable.

Prior to MIT, Sarah worked as a Senior Environmental Performance and Computational Designer at Kohn Pedersen Fox Associates (KPF). She led applied research projects in the fields of machine learning, simulation and computation, and managed KPF's Environmental Performance (KPFep) team in the London office. She led the team in developing computational simulation tools and applying environmental performance analysis to support evidence-based design within KPF’s work.

Prior to KPF, Sarah worked as an architect for various well-established practices. She holds a MSc in Adaptive Architecture and Computation with Distinction from the Bartlett School of Architecture, UCL in 2016, and a BSc in Architectural Engineering with Highest Honors from the American University in Cairo (2014). Her work has been presented in major international conferences in the fields of building simulation, computation and machine learning including Building and Environment, Advances in Architectural Geometry (AAG), Symposium on Simulation for Architecture and Urban Design (SimAUD), Asian Conference on Machine Learning (ACML), International Building Performance Simulation Association (IBPSA) Conference, and have been presented in GPU Technology Conference (GTC).