Since January 2019 I am a Senior Lecturer (Associate Professor) in Computational Aided Engineering at Imperial College London’s Dyson School of Design Engineering. My work focuses on the development and evaluation of new computer aided methodologies to support the design of engineering systems, with applications in infrastructure and financial systems. The work covers topics such as concept generation and selection, decision-making, machine learning, stochastic optimization, and uncertainty modeling.

In particular, my work focuses on design for flexibility (also known as real options), a design paradigm aiming at enabling better adaptability and resilience in complex engineered systems, with the goal of improving expected performance in the face of uncertainty and risks. My latest efforts explore the roles of AI and machine learning as part of this emerging paradigm.

Prior to joining Imperial College, I was a faculty member at the National University of Singapore, and worked as a Quantitative Researcher in derivatives trading in the hedge fund industry. I hold a PhD in Engineering Systems and a Master of Science in Technology and Policy from MIT, a Master of Applied Science in Aerospace Engineering from the University of Toronto, and Honors BSc in Physics from McGill University in Canada. I am also a graduate from the Space Science Program at the International Space University.

For more details please visit my professional page at Imperial College.

Last updated on September 9 2019