Prof. Leo Zhou’s research is in the theory of quantum computation and quantum information science, with interests in topics such as mathematical optimization, computational complexity, high-dimensional statistics, and many-body physics. His research group aims to uncover useful applications of quantum computers while deepening our understanding of physical systems through the lens of quantum information. His contributions include analysis of quantum algorithms and architecture, as well as establishing foundational results in quantum complexity theory. Moreover, he collaborates closely with experimentalists to develop and implement practical quantum applications on current and near-term quantum hardware.

Liz Izhikevich is an Assistant Professor in Electrical and Computer Engineering at UCLA. Her research focuses on improving Internet performance and security, both on earth and in space. Her work has been recognized nationally, including Forbes’ 30 Under 30 in Science (2025) and the Internet Measurement Conference Community Contribution Award (2022). Government agencies and industry partners rely on her tools to identify and mitigate online vulnerabilities, and her collaborations have improved video delivery for over a million satellite broadband users. She received her Ph.D. in Computer Science from Stanford University in 2024 and has held research positions at Netflix and Censys.

My group conducts theoretical and experimental research on wireless communication and sensing. We use mathematical tools, machine learning, and real-world hardware to analyze, model, optimize, and prototype wireless systems and solutions. Our research aims to drive the design, development, and deployment of next-generation wireless networks, such as 5G and future 6G cellular systems.