Bio:

Yiliu Wang joined the Allen Institute in 2023 as a Shanahan Foundation Fellow and a member of the modeling, analysis and theory team. She received a Master’s degree in Mathematics and Statistics from the University of Oxford. She earned her PhD in Statistics from the London School of Economics (LSE), supervised by Prof. Milan Vojnovic. During her PhD research, she studied inference, optimization, approximation and selection problems in relational learning, a subdivision of high-dimensional statistics. Specifically, she developed a stochastic valuation function system to evaluate sets of items and learn about individual representations through group outcomes. In her current role, Yiliu is looking forward to leveraging her expertise in mathematics and statistics to bring methodological advances in neuroscience and bridge the gap between data science and neuroscience.