Becky grew up in Manchester, UK, before attending the University of Cambridge to study Physical Natural Sciences earning an MSci in Physics with an emphasis on Quantum Theories and Particle Physics. She then attended the University of Texas at Austin to work as a Graduate Research Assistant and earn a second MSci in Computer Science, Engineering, and Mathematics. She studied applied statistics and completed projects spanning reinforcement learning, Markov decision processes, and Bayesian optimization. Her thesis focused on comparing and contrasting machine learning methods for modelling habitat suitability of disease-carrying insects. In her time at StatML, her focus will be on Meta-Learning for Bayesian Optimization in Experimental Campaigns, funded by BASF, and supervised by Dr Calvin Tsay and Dr Mark Van der Wilk. In her spare time, Becky loves to bake, sew, and crochet and keeps active by running, and hiking. She also loves to travel and explore the outdoors.
Rebecca Langdon
