Jiawei Li

Jiawei Li is a Postdoctoral Researcher at Freie Universität Berlin's Department of Education and Psychology in the Neurocognitive and Experimental Psychology group (Neural Dynamics of Visual Cognition lab) since November 2022, supported by an Alexander von Humboldt Fellowship (Henriette Herz Scouting Program, 2022-2024).

His educational background includes:

• B.Sc. from Tsinghua University, School of Social Science, Beijing
• Ph.D. in Psychology from Tsinghua University (2022) under Dan Zhang

Dr. Li investigates how the brain extracts meaning from different sensory modalities (visual vs. auditory) to achieve similar comprehension. His work employs high-temporal resolution EEG, temporal response functions, canonical correlation analysis, and deep neural networks to model neural dynamics during naturalistic speech processing and cross-modal semantic representation. Key methodologies include multivariate pattern analysis of neural data coupled with natural language processing techniques.

His publication record reveals a concentrated focus on neural mechanisms of speech comprehension, with consistent exploration of attention modulation, noise robustness, and neural coupling phenomena. The research trajectory demonstrates progression from basic neural oscillation mechanisms (2017-2018) to sophisticated cross-subject neural coupling analyses in naturalistic paradigms (2021-2023).

Scientific recognition includes:

• Alexander von Humboldt Fellowship (Henriette Herz Scouting Program), 2022-2024

Funded by the Humboldt Foundation, Dr. Li leads two projects: investigating temporal dynamics of cross-modal semantic representations (reading vs. listening to stories) and spatiotemporal emergence of non-linguistic semantic information. He collaborates with Prof. Radoslaw Martin Cichy and Dr. Jana Lüdtke within the Neurocognitive and Experimental Psychology research group.

He operates within the Neural Dynamics of Visual Cognition lab, which specializes in EEG-based investigations of naturalistic cognition using computational modeling approaches. The lab environment emphasizes interdisciplinary collaboration between neuroscience, psychology, and computational modeling to decode brain mechanisms during ecologically valid tasks.