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Kelly Zhang is an Assistant Professor in the Department of Mathematics at Imperial College London, where she focuses on the statistics section. She is a faculty member of the I-X interdisciplinary AI initiative, engaging in research at the intersection of adaptive experimentation, reinforcement learning, and statistical inference. Kelly holds a PhD in Computer Science from Harvard University, where she honed her expertise before transitioning to her current role at Imperial. Her work emphasizes innovative methodologies in AI and statistics, contributing to advancements in how data-driven decisions are made within complex systems. Additionally, she has experience as a postdoctoral fellow at Columbia University and has undertaken significant research positions at renowned institutions like Harvard. Kelly is committed to bridging theory and practice, making her insights relevant to both academic and industry applications.
Imperial College London • United Kingdom
Teaching and research in the Department of Mathematics, focusing on statistical methods.
Columbia University • United States
Conducting research in statistics and AI.
Harvard University • United States
Engaged in AI-focused statistical research.
Apple • Seattle, United States
Worked on developing AI solutions for health applications.
Facebook • New York, United States
Contributed to AI research initiatives.
eBay • New York, United States
Developed features for the recommendations team.
Specialisms available in Materials for the Energy Transition or Theory and Simulation of Materials.