Scholar
Mengyan Zhang
Google Scholar ID: Dqot5i0AAAAJ
University of Bristol
Citations & Impact
Citations
123
H-index
6
i10-index
3
Publications
13
Co-authors
7
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers, such as AI for modelling infectious disease epidemics in Nature, Optimal disease surveillance with graph-based Active Learning in PNAS, etc.; Award: CORE Distinguished Dissertation Award Commendation.
Research Experience
- Current: Lecturer (Assistant Professor) at the University of Bristol; Former: Postdoctoral researcher at the University of Oxford, working with Prof. Seth Flaxman; During PhD: Affiliated with Data61, CSIRO, and interned at Microsoft Research Asia.
Education
- PhD: Australian National University, 2023, supervised by Dr. Cheng Soon Ong, Prof. Lexing Xie, and Prof. Eduardo Eyras; Bachelors: Australian National University (first-class honours), Shandong University.
Background
- Research interests: Sequential decision-making in machine learning, including Reinforcement learning, Bayesian optimisation, and active learning. Goals: (I) Designing robust algorithms to handle imperfect feedback and understand causal relationships in sequential decision-making. (II) Designing decision-making algorithms to solve real-world problems in various areas such as synthetic biology, disease surveillance, survey design, and public policy.
Miscellany
- Looking for highly motivated Ph.D. students who are excited about working on sequential decision making and its applications in health.
