I am Qian-Ze (Rosella) Zhu (朱倩泽), a 5th-year PhD student in Applied Physics at Harvard University, advised by Prof. Michael P. Brenner.
I study how computation, learning, and organization emerge in complex systems far from equilibrium. My research combines statistical physics, differentiable simulation and machine learning to uncover fundamental limits and design principles governing self-assembly, information flow, and molecular computation.
Education
Ph.D. in Applied Physics
Harvard University, Cambridge, MA
Advisor: Prof. Michael P. Brenner
M.S. in Applied Mathematics
Harvard University, Cambridge, MA
B.S. in Physics
Peking University, Beijing, China
Advisor: Prof. Yun-Feng Xiao
Graduated with honors. National Scholarship.
Experience
Student Researcher (Part-time)
Google Research, Cambridge, MA
Working on large-scale AI systems that use large language models and tree search to automate scientific discovery, with applications to PDE emulation and neural data analysis.
Graduate Researcher
Harvard University, Cambridge, MA
Advisor: Prof. Mikhail Lukin
Research Intern
Remote (UC Berkeley)
Advisor: Prof. Norman Yao
Research Intern
University of Vienna, Austria
Advisor: Prof. Markus Aspelmeyer
Teaching & Service Experience
- Teaching Assistant, Harvard University
- Applied Math 215: Mathematical Modeling for Computational Science, 2024
- Applied Math 205: Advanced Scientific Computing: Numerical Methods, 2023
- Science Writer, Science in the News
Interested in learning more about my experience?
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