Education

2012-2016，Queen Mary University of London, Ph.D.

2009-2012，Southern Medical University, M. Ed.

2005-2009，South China University of Technology, B.A.

Experience

2022-2023, University of Cambridge, Visiting Scholar

2020-, Southern Medical University, Professor

2018-2020, Southern Medical University, Associate Professor

2016-2018, Southern Medical University, Postdoctoral Fellow

Research Introduction

Dr. Fei Peng is currently head of the Department of Psychology in the School of Public Health at Southern Medical University; Principal Investigator at the Greater Bay Area Brain Science and Brain‑Inspired Research Center; Youth Committee member of the Animal Behaviour Branch of the Chinese Society for Zoology; Vice President of the Guangdong Cognitive Science Society; and Deputy Director of the Mental Health Professional Committee of the Guangdong Preventive Medicine Association. His primary research focuses on the cognitive abilities of bumblebees and their neural computational mechanisms. He has served as PI on three projects funded by the National Natural Science Foundation of China, and his representative papers have appeared in international high-impact journals such as Science, eLife, Current Biology, PLoS Computational Biology and Animal Behaviour.

Selected publications

1. José Eric Romero González#, Zhenwei Zhuo#, Lulu Chen#, Chaoyang Peng, Cwyn Solvi, Fei Peng*. Positive affective contagion in bumblebees. Science 2025 (In press).

2. Yonghe Zhou#, Shuyi Ding#, Caiying Liao, Jianing Wu, Lars Chittka, Cwyn Solvi, Fei Peng*. Bumble bees’ food preferences are jointly shaped by rapid evaluation of nectar sugar concentration and viscosity. Animal Behaviour 2024, 210:419-427.

3. Cwyn Solvi#, Yonghe Zhou#, Yunxiao Feng, Yuyi Lu, Mark Roper, Li Sun, Rebecca J Reid, Lars Chittka, Andrew B Barron, Fei Peng*. Bumblebees retrieve only the ordinal ranking of foraging options when comparing memories obtained in distinct settings. eLife 2022, 11:e78525.

4. Fei Peng, Lars Chittka*. A Simple Computational Model of the Bee Mushroom Body Can Explain Seemingly Complex Forms of Olfactory Learning and Memory. Current Biology 2017, 27(2): 224-230.

5. Paul Ardin#, Fei Peng#, Michael Mangan, Kostas Lagogiannis, Barbara Webb*. Using an insect mushroom body circuit to encode route memory in complex natural environments. PLoS Computational Biology 2016, 12(2): e1004683.