I work as a post-doc at the (Psychological Methods and Statistics Lab),
Department of Psychology, University of Oldenburg. I am currently receiving
a CvO Young Researchers' Fellowship to conceptualize innovative projects: the iBrAIn project and the ASPIRE project.
I envision to optimize individuality approaches in neuroimaging research.
I received my Ph.D. from the Department of Physics, Hong Kong Baptist University, under the supervision of Professor Changsong Zhou. My research applied data-driven approaches to understand brain-behaviour relationships. Prior to my Ph.D., I obtained Master's and Bachelor's degrees in Engineering from Sirindhorn International Institute of Technology, Thammasat University, Thailand and Universitas Gadjah Mada, Indonesia, respectively.
Both theoretically and methodologically, my research contributes to the field of neuroscience. In particular, I aim to establish knowledge graphs for research trends in neuroscience. These knowledge graphs aim to achieve cohesive and integrated research, towards robust and reproducible research findings advancing the field. To achieve this goal, I use various approaches, including systematic literature coding, graph theory, natural language processing, and machine learning.
Please find the list of my publications through Google scholar below or through the RESQUE framework report for the selected publicaitons. Feel free to reach out if you have any questions or would like to collaborate!
I received my Ph.D. from the Department of Physics, Hong Kong Baptist University, under the supervision of Professor Changsong Zhou. My research applied data-driven approaches to understand brain-behaviour relationships. Prior to my Ph.D., I obtained Master's and Bachelor's degrees in Engineering from Sirindhorn International Institute of Technology, Thammasat University, Thailand and Universitas Gadjah Mada, Indonesia, respectively.
Both theoretically and methodologically, my research contributes to the field of neuroscience. In particular, I aim to establish knowledge graphs for research trends in neuroscience. These knowledge graphs aim to achieve cohesive and integrated research, towards robust and reproducible research findings advancing the field. To achieve this goal, I use various approaches, including systematic literature coding, graph theory, natural language processing, and machine learning.
Please find the list of my publications through Google scholar below or through the RESQUE framework report for the selected publicaitons. Feel free to reach out if you have any questions or would like to collaborate!
