Laurence Cook

I'm researching and implementing methods for computational engineering design: exploiting modern machine learning, optimization and uncertainty quantification algorithms to significantly enhance the speed at which engineering products are designed.

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Started as a computational research engineer in the rapid engineering design team at Arrival

Spent a research visit at the Dynamics, Vibration and Uncertainty lab at the University of Oxford

Became a visiting researcher at University of Cambridge for official collaboration

Presented at SIAM UQ conference about my developed multi-fidelity method for optimization under uncertainty

Spent a research visit at the Centre for Turbulence Research at Stanford University

Spent a research visit at the Air Force Office of Scientific Research in the Wright-Patterson Air Force Base

Started position as postdoctoral associate at the ACDL at Massachusetts Institute of Technology working with Prof. Karen Willcox

Won the student paper competition at 2018 AIAA Non-Deterministic Approaches Conference, AIAA SciTech Forum, with the paper "Using Stochastic Dominance in Multi-Objective Optimizers for Aerospace Design Under Uncertainty"

Presented a poster at SIAM CSE conference

Won the student paper competition at 2017 AIAA Non-Deterministic Approaches Conference, AIAA SciTech Forum, with the paper "Horsetail Matching for Optimization Under Probabilistic, Interval, and Mixed Uncertainties"

Started a PhD in the Engineering Design Centre at the University of Cambridge, working with Dr. Jerome Jarrett

Graduated with MEng and BA in Aerospace and Aerothermal Engineering from the University of Cambridge, achieving first class honours with distinction

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